<p><strong>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p><strong>Title:</strong> 3D Machine Learning Engineer</p><p> <strong>Location:</strong> Hybrid – El Segundo, CA</p><p> <strong>Compensation:</strong> Up to $190,000 DOE + benefits</p><p>We’re seeking a <strong>3D Machine Learning Engineer</strong> to join our innovative R& D team developing cutting-edge vision systems and AI-driven 3D modeling solutions. This hybrid role in <strong>El Segundo</strong> offers the opportunity to work on challenging projects at the intersection of <strong>computer vision, deep learning, and image processing</strong>.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, train, and optimize deep learning models using <strong>TensorFlow</strong> and <strong>Python</strong> for 2D and 3D visual data.</li><li>Develop algorithms for <strong>3D reconstruction</strong>, <strong>object recognition</strong>, and <strong>scene understanding</strong>.</li><li>Implement and evaluate models for <strong>image segmentation</strong>, <strong>depth estimation</strong>, and <strong>motion tracking</strong>.</li><li>Collaborate with multidisciplinary teams of engineers and researchers to deploy models into production environments.</li><li>Contribute to data preprocessing, augmentation, and model performance evaluation.</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIN Today and Apply now</p>
<p>We are looking for an innovative AI Engineer to join our team. In this role, you will design and implement AI-driven solutions that address operational challenges and enhance efficiency across various departments. This position requires close collaboration with cross-functional teams to develop scalable, secure, and impactful AI systems that align with business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models to optimize workflows in manufacturing, sales, marketing, human resources, and other business functions.</p><p>• Design and refine intelligent systems and prompts to enhance customer interactions, employee support, and operational processes.</p><p>• Collaborate with different business units to identify AI opportunities and deliver tailored solutions that address their specific needs.</p><p>• Integrate structured and unstructured data into AI models to provide actionable insights and improve decision-making.</p><p>• Evaluate and utilize approved AI tools, frameworks, and databases to meet business objectives effectively.</p><p>• Share knowledge and best practices for AI tools and workflows with colleagues to support informal learning and skill development.</p><p>• Document AI workflows, model architectures, and processes to ensure transparency and facilitate knowledge sharing within the organization.</p><p>• Stay updated on emerging AI technologies and techniques to continuously enhance the effectiveness of deployed solutions.</p><p>• Provide technical input on the adoption of tools and platforms while ensuring their alignment with organizational goals.</p>
<p>We’re looking for a software engineer with a strong foundation in Python and deep experience in Artificial Intelligence and Machine Learning, particularly in the areas of Large Language Models (LLMs) and Computer Vision. The right candidate will have a proven track record of building, testing, and scaling Python-based systems, along with a solid grasp of AI/ML methodologies and their practical applications. </p><p><br></p><ul><li>Analyze software requirements and evaluate technical solutions to meet functional goals.</li><li>Stay current with emerging research and publicly available models in LLMs, Computer Vision, and multimodal AI.</li><li>Collaborate with peers to assess and refine proposed technical strategies.</li><li>Develop Python-based microservices aligned with architectural designs.</li><li>Conduct testing and integrate services into the broader software ecosystem.</li><li>Maintain thorough documentation of research findings and implementation details.</li><li>Contribute to a collaborative and knowledge-sharing team culture. </li></ul><p><br></p><ul><li>Eligible for a security clearance.</li><li>2 to 5 years of practical experience in Python software development.</li><li>Bachelor’s degree in Computer Science, Data Science, or a closely related discipline.</li><li>Proficiency with machine learning libraries such as Pandas, NumPy, PyTorch, and spaCy.</li><li>Familiarity with LLM tools and ecosystems like Langchain, LlamaIndex, and providers such as sglang, vLLM, and OpenAI.</li><li>Experience working in environments like Jupyter Notebooks, Google Colab, and visualization tools such as Matplotlib, Plotly, and geoplotlib.</li><li>Understanding of transformer models, embedding techniques, transfer learning, and fine-tuning.</li><li>Solid foundation in statistical analysis and machine learning approaches including clustering, regression, neural networks, and deep learning.</li><li>Strong communication skills, both written and verbal, with the ability to convey technical concepts to stakeholders.</li><li>Willingness to travel occasionally for client engagements. </li></ul><p><br></p><ul><li>Exposure to Agentic AI frameworks (e.g., langgraph) and concepts like MCP and Retrieval-Augmented Generation (RAG).</li><li>Knowledge of natural language processing techniques such as TF-IDF, Bag of Words, Named Entity Recognition, and Part-of-Speech tagging.</li><li>Experience with distributed computing and data platforms like Spark, Hive, MongoDB, and MapReduce.</li><li>Understanding of modern cloud-native architectures and tools such as Docker, AWS, GCP, Jenkins, and TeamCity.</li><li>Master’s degree in a relevant technical field is a plus.</li></ul><p><br></p>
We are looking for an experienced Senior AI Engineer to join our team in San Francisco, California. In this role, you will leverage cutting-edge technologies to design and implement advanced AI solutions, ensuring optimal performance and scalability. This position offers the opportunity to work on innovative projects that push the boundaries of artificial intelligence.<br><br>Responsibilities:<br>• Develop and optimize AI models and systems to meet business objectives.<br>• Collaborate with cross-functional teams to integrate AI technologies into existing workflows.<br>• Design and implement algorithms using Python and other programming languages.<br>• Utilize Agentic AI and LangGraph to create intelligent solutions tailored to client needs.<br>• Conduct thorough testing and validation to ensure the accuracy and reliability of AI models.<br>• Analyze complex datasets to uncover insights and improve system performance.<br>• Stay updated on industry trends and advancements, applying them to enhance project outcomes.<br>• Provide technical guidance and mentorship to less experienced team members.<br>• Document processes and solutions to maintain transparency and facilitate knowledge sharing.
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
We are looking for a skilled Sr. Software Engineer to join our dynamic team in Houston, Texas. In this role, you will collaborate with data scientists and machine learning engineers to develop advanced AI tools and applications, including supporting firmwide virtual assistant technologies. This position offers a unique opportunity to work across the entire machine learning lifecycle, from data sourcing and integration to solution design and implementation. If you are passionate about leveraging your technical expertise to drive business value, we encourage you to apply.<br><br>Responsibilities:<br>• Collaborate with global data scientists to deliver machine learning models and solutions for business users and technology teams.<br>• Develop, test, and maintain scalable software tools and data pipelines for machine learning applications.<br>• Provide expertise in software engineering, emphasizing maintainability, performance, and reliability, particularly in Python.<br>• Take ownership of critical technical infrastructure as needed to ensure seamless operations.<br>• Engage with projects at various stages, debugging and enhancing bespoke applications to improve performance and reliability.<br>• Manage multiple projects simultaneously, prioritizing tasks to maximize business impact.<br>• Lead and participate in code reviews, experiment design, and tooling decisions to enhance team productivity and quality.<br>• Act as a bridge between the Data Science team and other technology units for application integration, data sourcing, and infrastructure needs.
We are looking for a Principal AI Software Architect to lead the design, development, and implementation of cutting-edge AI and software solutions across the organization. This role is ideal for a visionary leader who excels in combining technical expertise with architectural strategy to deliver scalable, innovative systems. As a contract position based in Columbus, Ohio, this opportunity requires someone with a strong background in AI, software engineering, and enterprise-level architecture.<br><br>Responsibilities:<br>• Lead the architecture, design, and deployment of AI-driven platforms and scalable software systems that align with organizational goals.<br>• Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to identify and address technical challenges.<br>• Evaluate and select advanced AI tools, frameworks, and technologies to optimize performance and scalability.<br>• Establish and enforce best practices for AI model development, MLOps, software engineering, DevOps, and system architecture.<br>• Provide mentorship and guidance to engineering teams, fostering a culture of innovation and technical excellence.<br>• Drive the technical strategy and long-term planning to align engineering initiatives with enterprise objectives.<br>• Ensure adherence to data privacy, security, and ethical standards in all AI and software development efforts.<br>• Conduct code reviews, implement automated testing processes, and promote continuous integration and delivery pipelines.<br>• Monitor emerging technologies and methodologies to identify opportunities for innovation and improvement.
<p>Are you a data-driven professional passionate about turning raw data into actionable insights? We are seeking a <strong>Data Scientist</strong> to join our team in <strong>Phoenix, AZ</strong>. In this role, you will apply your analytical expertise and machine learning knowledge to solve complex business challenges, drive innovation, and deliver data-backed results.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze and interpret complex datasets to identify trends, patterns, and insights that support decision-making </li><li>Design and implement predictive models and machine learning algorithms to optimize processes and improve business performance.</li><li>Collaborate with cross-functional teams, including data analysts, engineers, and business leaders, to identify and solve key business problems.</li><li>Develop and maintain databases, data pipelines, and ETL processes.</li><li>Visualize data findings through dashboards and reports to effectively communicate insights to both technical and non-technical stakeholders.</li><li>Ensure data quality, accuracy, and privacy standards are met in compliance with company and regulatory standards.</li><li>Stay current with emerging technologies, tools, and best practices in data science and machine learning.</li></ul><p><br></p>
Job Summary:<br>We are seeking a software engineer with strong Python development experience and deep expertise in AI/ML, Large Language Models (LLMs), and Computer Vision. The ideal candidate should have extensive and hands-on experience designing, implementing, testing and scaling Python software, as well as a broad knowledge of AI/ML algorithms and applications.<br><br>Responsibilities:<br>• Understanding the functional requirements of the software and exploring available options to enable the functionalities<br>• Monitoring the new research and public domain models in the area of Small/Large Language Models (LLM), Computer Vision and other Multimodal models<br>• Presenting and discussing proposed approaches with the team and arriving at the best viable option<br>• Designing and implementing the designed Python microservices<br>• Testing and deploying the services as part of the overall software<br>• Documenting the research and relevant data<br>• Collaborating with the team and contributing to a learning environment<br><br>Qualifications:<br>• US Citizenship; ability to obtain and maintain a Security Clearance is a PLUS<br>• 2-5 years of hands-on experience with Python development<br>• Bachelor degree in Computer Science, Data Science or related fields<br>• Master’s Degree strongly preferred<br>• Strong familiarity with ML libraries: Pandas, NumPy, PyTorch, spaCy<br>• Knowledge of LLM frameworks (Langchain, Llamaindex) and LLM providers (sglang, vLLM, OpenAI)<br>• Experience developing in environments like Jupyter, Google Colab notebooks, Matplotlib, Plotly, and geoplotlib<br>• Familiarity with transformer architectures, embedding models, transfer learning, fine[1]tuning<br>• Understanding of statistical methods and machine learning techniques (e.g., clustering, regression, neural networks, deep learning)<br>• Excellent written and verbal communication skills, including the ability to brief technical and mission stakeholders<br>• Occasional travel to customer locations required
<p>We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.</li><li>Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.</li><li>Define the roadmap for Data Lake development, ensuring efficient data storage and processing.</li><li>Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.</li><li>Work with Python and PySpark to process large-scale data efficiently.</li><li>Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.</li><li>Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.</li><li>Drive innovation and cost optimization in data architecture and cloud infrastructure.</li><li>Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices.</li></ul>
Description: As a Senior Analytics Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you& #39;re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. You will: Architect and design data products using foundational data sets. Develop and maintain code for data products. Consult with business stakeholders on data strategy and current data assets. Provide specifications for data ingestion and transformation. Document and instruct others on using data products for automation and decision-making. Build data pipelines to automate the creation and deployment of knowledge from models. Monitor and improve statistical and machine learning models in data products. Work with data scientists to implement methodologies for marketing problem-solving. Coordinate with other science and technology teams.Required Education ● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience. Must be okay working 4 onsite per week. Expert level on SQL-definitely must have Snowflake nice to have AWS is nice to have -4 plus years experience on SQL< br >Preferred Qualifications:Required Education<br>● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent<br>work experience.<br>● Master’s Degree is a plus.< br >Basic Qualifications: Bachelor& #39;s degree in Computer Science, Information Systems, Software Engineering, or<br>related field.<br> 5+ years of experience in analytics engineering and technology.<br> Demonstrated academic achievement in statistics and probability.<br> Proficiency in Python and SQL.<br> Strong problem-solving, decision-making, and critical thinking skills.<br> Outstanding interpersonal skills and ability to manage multiple priorities.<br> Strong written and verbal communication skills.<br> Ability to work independently and collaboratively in a diverse environment.<br>Project management and business analysis skills preferred Education: STEM Bachelor's Degree
We are looking for a highly skilled and motivated Senior Data Scientist to join our Enterprise Analytics team on a contract basis in Columbus, Ohio. In this role, you will leverage advanced data science techniques to uncover opportunities for improving customer experiences and driving business growth. You will work closely with cross-functional teams, including marketing, product, finance, and senior leadership, to deliver actionable insights and performance analytics. This position offers a unique chance to influence strategic decision-making and contribute to high-visibility projects.<br><br>Responsibilities:<br>• Analyze customer, product, channel, and digital data to identify opportunities for enhancing consumer experiences and delivering customer value.<br>• Develop and implement data-driven models and experiments to answer complex business questions.<br>• Conduct research on emerging techniques in machine learning, artificial intelligence, and advanced analytics.<br>• Create intuitive data visualizations and compelling data stories to communicate insights to diverse stakeholders.<br>• Collaborate with teams across the organization to align analytics efforts with business objectives.<br>• Deliver actionable recommendations to product teams and senior leadership based on data analysis.<br>• Partner with Agile development teams to support projects throughout their lifecycle, from ideation to implementation.<br>• Ensure the quality and accuracy of data used in analyses and models.<br>• Stay updated on the latest tools and methodologies in data science and analytics to enhance team capabilities.
<p>Are you passionate about using artificial intelligence to drive meaningful change in communities? Our client, a forward-thinking organization in the public sector, is seeking an <strong>AI Developer</strong> to architect and deploy intelligent solutions that enhance public services, streamline operations, and empower data-driven decision-making. This is your chance to work on impactful projects that directly benefit residents, city departments, and leadership—powered by <strong>Microsoft Azure AI</strong>.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement <strong>AI/ML models</strong> using <strong>Azure Machine Learning</strong>, <strong>Azure OpenAI</strong>, and <strong>Cognitive Services</strong></li><li>Build and maintain <strong>chatbots</strong>, <strong>document intelligence</strong>, <strong>predictive analytics</strong>, and <strong>natural language processing (NLP)</strong> solutions</li><li>Collaborate with <strong>data engineers, analysts, and public service teams</strong> to identify opportunities for AI integration</li><li>Deploy and monitor models using <strong>Azure ML pipelines</strong>, <strong>Azure Functions</strong>, and <strong>Azure Kubernetes Service (AKS)</strong></li><li>Ensure all AI solutions meet <strong>security, ethical, and regulatory standards</strong></li><li>Document models, workflows, and APIs for scalability and internal knowledge sharing</li><li>Stay ahead of emerging AI trends and technologies, especially those impacting the <strong>public sector and smart city initiatives</strong></li></ul><p><br></p><p><br></p>
We are looking for an experienced Applications Architect to join our team in Palo Alto, California. In this Contract-to-permanent position, you will play a pivotal role in designing and implementing enterprise-grade solutions while ensuring alignment with architectural standards and business objectives. This position offers an exciting opportunity to collaborate across teams, drive technology innovation, and contribute to scalable systems architecture.<br><br>Responsibilities:<br>• Develop and enforce solution design standards and integration guardrails, ensuring alignment with architectural principles and technical frameworks.<br>• Lead technology evaluations and design solutions across domains such as invoice automation, workflows, and enterprise system deployments.<br>• Drive the deployment and scaling of systems including SAP S/4HANA, Palantir Foundry, and other enterprise data visualization tools.<br>• Collaborate with business units to identify opportunities for process automation and optimization using Python, RESTful APIs, and BI platforms.<br>• Define architectural standards for enterprise platforms and oversee their integration with cloud technologies.<br>• Assess security, compliance, and governance risks during solution architecture planning and implementation.<br>• Provide technical leadership and guidance, ensuring the adoption of best practices across teams.<br>• Facilitate alignment between stakeholders by communicating technical concepts effectively to both technical and non-technical audiences.<br>• Evaluate emerging technologies, including AI and machine learning tools, to enhance system capabilities.<br>• Contribute to strategic roadmaps that align technology solutions with organizational goals.
We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.<br><br>Responsibilities:<br>• Analyze large client datasets to perform Matchback reporting using Excel and internal tools.<br>• Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights.<br>• Present analytical findings and recommendations directly to clients, showcasing strong communication skills.<br>• Collaborate with team members and executives to ensure alignment on data-driven strategies.<br>• Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed.<br>• Maintain and optimize reporting processes to ensure accuracy and efficiency.<br>• Utilize Python and SQL to support data analysis and visualization tasks.<br>• Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting.<br>• Provide timely updates and insights to stakeholders, contributing to strategic decision-making.
<p>Job Summary:</p><p><br></p><p>We are seeking a skilled and motivated System Engineer to join our team in New York City. As a System Engineer, you will be responsible for maintaining and optimizing our IT infrastructure, ensuring the smooth operation of our systems, and providing technical support to end-users. The ideal candidate should have 5+ years of experience in system administration, with a strong focus on Azure, Windows, Active Directory, VMware, Barracuda Backups Appliance, SAN Nimble storage, and MFT/SFTP technologies.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p><br></p><p>Manage and maintain the company's IT infrastructure, including servers, storage systems, network devices, and related components.</p><p>Monitor and troubleshoot system performance, ensuring high availability and reliability of all systems.</p><p>Configure and administer Azure cloud services, including virtual machines, storage, networking, and security.</p><p>Oversee the Windows server environment, including installation, configuration, and maintenance of servers and services.</p><p>Manage Active Directory, including user accounts, group policies, security permissions, and domain services.</p><p>Perform virtualization tasks using VMware, including server provisioning, virtual machine management, and troubleshooting.</p><p>Administer and monitor Barracuda Backups Appliance for data backup and recovery operations.</p><p>Maintain and support SAN Nimble storage systems, ensuring optimal performance and availability.</p><p>Collaborate with cross-functional teams to implement and maintain secure file transfer protocols (MFT) and secure file transfer protocol (SFTP) solutions.</p><p>Perform system upgrades, patches, and security updates in accordance with industry best practices.</p><p>Provide technical support to end-users, resolving issues related to hardware, software, and network connectivity.</p><p>Create and maintain documentation related to system configurations, procedures, and troubleshooting guides.</p><p><br></p><p><br></p><p><br></p>
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
Lead Application Developer is responsible for developing and implementing application changes and is expected to stay abreast of the available technology regarding application development, information delivery, and relational database technology, as well as lead assigned team of developers. <br> PRINCIPAL RESPONSIBILITIES AND DUTIES: <br> 1. Maintains in-depth knowledge of the department’s strategic business plans. 2. Develops in-depth knowledge of company’s existing IT architecture, infrastructure, and technology portfolio. 3. Provides technical leadership and mentors team members on assigned projects. 4. Conducts research on emerging technologies in support of infrastructure development efforts and recommend technologies that will increase cost effectiveness and infrastructure flexibility. 5. Designs, develops, and implements end-to-end integrated systems. 6. Collaborates across teams to evaluate business needs and provide technology solutions. 7. Develops and executes test plans to check infrastructure and systems technical performance. 8. Reports on findings and make recommendations for improvement. 9. Conducts code reviews and uphold Cass standards in coding. <br> SKILLS AND ABILITIES REQUIRED: <br> 1. Advanced understanding of information processing principles and practices. 2. Advanced technical knowledge of network, PC, and platform operating systems, including current Microsoft Windows Server and Desktop releases. 3. Expert experience in a variety of programming languages, including Python, C# and ASP. 4. Knowledge of current web best practices and JavaScript, HTML, and CSS experience. 5. Experience using TFS or DevOps with GIT integrated for source control. 6. Knowledge of applicable data privacy practices and laws. 7. Advanced analytical, conceptual, and problem-solving abilities. 8. Excellent written, oral and interpersonal communication skills. 9. Ability to present ideas in user-friendly language. 10. Effectively able to prioritize and execute tasks in a fast paced environment. 11. Ability to thrive in a team-oriented, collaborative setting. 12. Experience with agile methodologies and the full software development life cycle. 13. Previous experience with an Artificial Intelligence/Machine Learning tool such as Instabase is a plus.
Position: SENIOR DEVOPS ENGINEER - Build the future from the ground up<br>Location: REMOTE<br>Salary: UP TO $175K BASE + BONUS + EXCEPTIONAL BENEFITS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Imagine joining a brand-new department at day one—where your ideas shape the foundation and your code powers the future.<br>A nationally recognized company with decades of success is launching a bold digital transformation. With the backing of a Fortune 500 parent and full executive support, this initiative is building a mobile-first product from scratch—a greenfield, 0-to-1 launch that’s poised to redefine how users interact with essential services.<br>We’re assembling a high-impact team of 20 innovators—engineers, designers, product leaders—who will architect and launch a modern digital experience. The first MVP is on the runway, and we’re looking for a Senior DevOps Engineer to help our client company take off.<br>Why You’ll Love This Role<br> • Start-up energy, enterprise stability: Move fast, innovate boldly, and build from scratch—with funding, executive support, and guidance from top-tier tech leadership.<br> • Impact from Day One: Join early, shape the infrastructure, and influence the DevOps culture for a product that will scale nationally.<br> • Greenfield Opportunity: No legacy systems for new mobile build. No red tape. Just clean architecture and a blank canvas.<br>What You’ll Do<br> • Architect and maintain scalable, secure CI/CD pipelines for rapid deployment.<br> • Build infrastructure as code (IaC) using Terraform or CloudFormation.<br> • Optimize cloud environments for performance, scalability, and cost-efficiency.<br> • Implement robust monitoring, logging, and alerting systems.<br> • Automate operational tasks and enhance system resilience.<br> • Champion DevOps best practices across the development lifecycle.<br> • Ensure security and compliance through proactive guardrails and vulnerability management.<br> • Mentor junior engineers and help define DevOps standards.<br>What You Bring<br> • 5+ years in DevOps, SRE, or infrastructure engineering.<br> • Deep expertise in AWS (EC2, ECS, Lambda, S3, IAM, CloudWatch).<br> • Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline).<br> • Proficiency in containerization (Docker, Kubernetes).<br> • Strong scripting skills (Bash, Python, PowerShell).<br> • Familiarity with observability tools (Prometheus, Grafana, ELK stack).<br> • Bonus: Azure experience, DevSecOps knowledge, AWS certifications.<br><br>Reporting Structure<br> • Reports to: Director of Product Engineering<br> • Team size: You’ll be a foundational member of a 20-person launch team<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** <br>revise
<p>Quite possibly the most REWARDING DevOps Engineering role that the Tampa, FL and Orlando, FL market can possibly offer. No, it's TRUE. If you meet the requirements, apply and find out for yourself. Local candidates to the Tampa, FL and Orlando, FL Metro areas will be the only candidates considered due to our client's requirement of meeting in the Lakeland, FL office 3 to 5 times per month. MAJORITY REMOTE ROLE w/in the Lakeland, FL area. </p><p><br></p><p>MUST HAVE Azure Kubernetes Services (AKS), Powershell scripting, Bash scripting, Terraform, Github Actions, and Kubernetes under your technical tool belt as a proven professional. </p><p><br></p><p>We are seeking a passionate and technically savvy mid to Sr level Azure DevOps Engineer to join a small yet dynamic DevOps Engineering Team. The ideal candidate will have a strong background in DevOps practices, with a focus on Microsoft Azure, Kubernetes, and CI/CD pipeline implementation. You will play a critical role in designing, implementing, and maintaining cloud infrastructure to support scalable, secure, and highly available applications.</p><p><br></p><p>Responsibilities</p><p>• Design, build, and maintain CI/CD pipelines using Azure DevOps for automated code deployment and testing.</p><p>• Manage and optimize Azure-based infrastructure, including Azure Kubernetes Service (AKS), to ensure high availability and scalability.</p><p>• Implement and manage containerized applications using Docker and Kubernetes.</p><p>• Collaborate with development and operations teams to streamline software delivery processes and improve system reliability.</p><p>• Monitor, troubleshoot, and optimize cloud infrastructure performance, ensuring security and compliance best practices.</p><p>• Automate infrastructure provisioning and configuration using tools like Terraform, ARM templates, or similar.</p><p>• Mentor junior engineers and provide technical guidance on DevOps best practices.</p><p>• Stay up-to-date with emerging Azure services and DevOps trends to drive continuous improvement.</p><p><br></p>
<p><strong>Role Summary</strong></p><p>As a Technical Project Manager focused on data and AWS cloud, you will lead the planning, execution, and delivery of engineering efforts involving data infrastructure, data platforms, analytics, and cloud services. You will partner with data engineering, analytics, DevOps, product, security, and business stakeholders to deliver on key strategic initiatives. You are comfortable navigating ambiguity, managing dependencies across teams, and ensuring alignment between technical direction and business priorities.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end-to-end technical projects pertaining to AWS cloud, data platforms, data pipelines, ETL/ELT, analytics, and reporting.</li><li>Define project scope, objectives, success criteria, deliverables, and timelines in collaboration with stakeholders.</li><li>Create and maintain detailed project plans, roadmaps, dependency maps, risk & mitigation plans, status reports, and communication plans.</li><li>Track and monitor project progress, managing changes to scope, schedule, and resources.</li><li>Facilitate agile ceremonies (e.g., sprint planning, standups, retrospectives) or hybrid methodologies as appropriate.</li><li>Serve as the bridge between technical teams (data engineering, DevOps, platform, security) and business stakeholders (product, analytics, operations).</li><li>Identify technical and organizational risks, escalate when needed, propose mitigation or contingency plans.</li><li>Drive architectural and design discussions, ensure technical feasibility, tradeoff assessments, and alignment with cloud best practices.</li><li>Oversee vendor, third-party, or external partner integrations and workstreams.</li><li>Ensure compliance, security, governance, and operational readiness (e.g., data privacy, logging, monitoring, SLA) are baked into deliverables.</li><li>Conduct post-implementation reviews, lessons learned, and process improvements.</li><li>Present regularly to senior leadership on project status, challenges, KPIs, and outcomes.</li></ul>
<p>We are seeking a highly skilled and experienced Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE). The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and services, while collaborating closely with development and engineering teams to ensure scalable, secure, and compliant cloud solutions.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform.</li><li>Lead and support GKE integration efforts with development and engineering teams.</li><li>Implement and manage GCP services including Compute Engine, Cloud Storage, BigQuery, and Cloud Functions.</li><li>Develop and maintain infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform or Ansible.</li><li>Automate cloud operations and workflows using Python, Bash, or PowerShell.</li><li>Apply GitOps principles to manage infrastructure as code and ensure version control and traceability.</li><li>Build and maintain CI/CD pipelines using tools like Bitbucket and Jenkins.</li><li>Ensure cloud environments adhere to security best practices, compliance requirements, and Windows Server/Active Directory configurations.</li><li>Monitor system performance, troubleshoot issues, and optimize cloud resources for cost and efficiency</li></ul><p><br></p>
<p>• A minimum of 8 years' experience as an IT Systems Administrator or Engineer (L2 or higher).</p><p>• Demonstrated ability to effectively troubleshoot IT issues and see them through to resolution.</p><p>• Excellent written and verbal communication skills, fostering collaboration with team members and customers.</p><p>• A passion for continuous learning and a commitment to expanding your skill set.</p><p>• Exceptional multitasking abilities, capable of managing multiple priorities and projects simultaneously.</p><p>• Strong project management skills, from initiation and setting milestones to timeline accountability and successful completion.</p><p>• Self-motivated, detail-oriented, and organized, with a proactive mindset.</p><p>• Take ownership and accountability for escalation tickets and assigned projects.</p><p>• Thrive in high-pressure environments.</p><p>• Aptitude to solve problems and provide solutions. Top level role that is the last line of escalation. Must have very high level of knowledge, experience and troubleshooting skill.</p>
