We are looking for a Machine Learning Engineer II to join our team on a contract basis in Philadelphia, Pennsylvania. In this role, you will focus on developing and refining machine learning algorithms, building robust data pipelines, and ensuring the successful deployment and monitoring of machine learning models in production environments. This position offers an exciting opportunity to contribute to cutting-edge projects and collaborate across teams to deliver innovative solutions.<br><br>Responsibilities:<br>• Develop, optimize, and validate machine learning algorithms to enhance product functionality and applications.<br>• Design and implement data pipelines that include ingestion, validation, cleaning, and monitoring processes.<br>• Train machine learning models, validate their accuracy, and deploy them into production environments.<br>• Create proofs of concept and participate in research studies to support the development of future products and applications.<br>• Draft technical documentation, including evaluation plans, technical manuals, white papers, and reports.<br>• Conduct testing and evaluation of solutions, completing case studies and detailed reports.<br>• Collaborate with cross-functional teams to address technical challenges and provide innovative solutions.<br>• Represent the team by contributing technical expertise to project discussions and planning.<br>• Perform ongoing monitoring and maintenance of deployed machine learning models to ensure optimal performance.
We are looking for a Machine Learning Engineer I (Contractor) to join our team in Philadelphia, Pennsylvania. In this long-term contract role, you will be responsible for developing, validating, and deploying machine learning models while contributing to innovative product and application solutions. The ideal candidate will possess strong programming skills, expertise in machine learning, and a passion for working with data-driven technologies to enhance business outcomes.<br><br>Responsibilities:<br>• Design, implement, and refine machine learning algorithms tailored for specific products and applications.<br>• Develop robust data pipelines, including processes for data ingestion, validation, cleaning, and monitoring.<br>• Train machine learning models, validate their accuracy, and deploy them into production environments.<br>• Contribute to proof-of-concept solutions and conduct studies to inform future product or application development.<br>• Create and maintain technical documentation, including evaluation plans, white papers, presentations, and formal reports.<br>• Test and evaluate solutions by performing case studies, generating test results, and documenting findings.<br>• Collaborate with cross-functional teams to ensure the seamless integration of machine learning solutions into existing systems.<br>• Monitor and maintain deployed models to ensure optimal performance and reliability.<br>• Research emerging technologies and methodologies to continuously improve processes and solutions.
<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>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p><br></p>
We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you have a strong background in backend development, AI/ML systems, and are passionate about delivering high-quality solutions, this position offers an exciting opportunity to make a meaningful impact.<br><br>Responsibilities:<br>• Architect and implement robust ingestion pipelines to process raw documents into structured Neo4j knowledge graphs.<br>• Develop and refine Python-based microservices using FastAPI to support ingestion and question-answering endpoints.<br>• Optimize retrieval and Q& A workflows to enhance performance, reduce costs, and ensure maintainability.<br>• Investigate and implement approaches for managing conflicting, incomplete, or time-sensitive information.<br>• Collaborate with researchers to integrate experimental AI strategies into production-grade systems.<br>• Maintain high standards of code quality through rigorous testing, documentation, and monitoring.<br>• Scale services from prototypes to fully operational production systems that meet enterprise needs.
<p>We are seeking a talented and innovative <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that drive real-world impact. This role is ideal for someone with a passion for machine learning, natural language processing, and generative AI, who thrives in fast-paced environments and enjoys turning research concepts into scalable production systems.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and deploy <strong>AI/ML models</strong> to solve complex business problems.</li><li>Work on projects involving <strong>LLMs, NLP, Computer Vision, and Predictive Analytics</strong>.</li><li>Develop APIs and pipelines to integrate AI solutions into enterprise applications.</li><li>Fine-tune and optimize models for performance, scalability, and cost-effectiveness.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.</li><li>Stay up to date with the latest advancements in <strong>machine learning, generative AI, and deep learning techniques</strong>.</li><li>Monitor, evaluate, and continuously improve deployed AI systems.</li></ul><p><br></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 are looking for a visionary Data Scientist to lead the development of cutting-edge machine learning systems that enhance autonomous threat detection across decentralized networks. This role requires a strategic leader who can architect innovative solutions, build a high-performing team, and partner across departments to embed artificial intelligence into core system designs. If you are passionate about leveraging AI to create secure, scalable, and adaptive systems, this opportunity offers a chance to make a transformative impact.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement machine learning systems to detect anomalies, identify malicious activities, and adapt to evolving threat vectors within decentralized network environments.</p><p>• Develop real-time intelligence pipelines that process large-scale data signals into actionable insights with speed and accuracy.</p><p>• Lead the end-to-end lifecycle of AI model development, including designing, training, testing, and deploying models tailored for security and anomaly detection.</p><p>• Collaborate with infrastructure and platform teams to optimize data telemetry, build labeled datasets, and scale data quality across the organization.</p><p>• Partner with cross-functional teams, including Security, Platform, and Network Engineering, to integrate AI solutions seamlessly into system architecture.</p><p>• Recruit, mentor, and manage a team of elite machine learning engineers and research scientists, fostering innovation and excellence in a dynamic environment.</p><p>• Stay ahead of emerging threats by analyzing attack patterns, adversarial behaviors, and cutting-edge detection methods to refine defenses.</p><p>• Architect scalable AI and inference systems that balance performance, privacy, and security while adapting to evolving demands.</p><p>• Translate research innovations into production-grade systems that enhance threat detection and response capabilities.</p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><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.
<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 Senior Software Engineer to design and implement innovative software solutions. This role involves creating scalable systems, optimizing performance, and contributing to cutting-edge technologies, including machine learning and vector databases. Join our team in New York, New York, and help shape the future of software development.<br><br>Responsibilities:<br>• Design and develop scalable software solutions using Python and modern architectural patterns.<br>• Build and maintain distributed systems with a focus on multi-threaded programming.<br>• Develop and integrate RESTful APIs to ensure seamless communication between applications.<br>• Optimize data storage and retrieval using MongoDB and Redis.<br>• Explore and implement vector databases such as pgvector and timescale.<br>• Collaborate on machine learning initiatives, including the application of large language models (LLMs).<br>• Utilize cloud platforms like Amazon Web Services (AWS) to enhance system performance and scalability.<br>• Conduct thorough testing and debugging to ensure high-quality software delivery.<br>• Stay updated on emerging technologies to drive innovation within the team.
Join our dynamic team focused on data and AI solutions in a collaborative and innovative environment. As a Clojure Backend Engineer, you will play a vital role in building and maintaining ETL pipelines to process and prepare data for machine learning applications. You'll work in a highly skilled team. <br> Technical Requirements: Clojure Development Expertise: Strong foundation with at least 3+ years of detail oriented experience in Clojure. ETL and Data Pipelines: Adept in building and maintaining data pipelines for large-scale data processing. SQL Knowledge: While not mandatory, expertise in SQL is a significant advantage due to the role's focus on data storage and processing.
<p>We are seeking a highly skilled and innovative Senior Full- Stack AI / LLM Engineer to join our team and lead the development of cutting-edge AI solutions. This role focuses on building intelligent systems using large language models (LLMs), generative image models, and multimodal AI technologies. You will work across the stack—from model integration and orchestration to deployment and automation—helping us deliver scalable, production-grade AI applications.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy Python-based microservices and APIs for AI-powered applications.</li><li>Integrate and fine-tune LLMs from providers such as OpenAI, Anthropic, Meta, and Mistral.</li><li>Build Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex.</li><li>Implement semantic search and vector database solutions using Pinecone, Weaviate, Chroma, Milvus, or Supabase.</li><li>Develop and integrate TTS/STT systems using tools like OpenAI Whisper, Coqui TTS, and ElevenLabs.</li><li>Work with generative image models including GPT-Image-1, Stable Diffusion, and ComfyUI.</li><li>Automate workflows using orchestration platforms such as n8n, Make, or Zapier.</li><li>Deploy AI services on cloud platforms (GCP, AWS, or Azure) with scalability and reliability in mind.</li><li>Apply prompt engineering best practices to optimize model performance and output quality.</li><li>Collaborate with cross-functional teams including product, design, and data science to deliver impactful AI features.</li></ul>
<p>We are looking for an experienced IT Infrastructure Manager to join our team near Panyesville, Minnesota. In this role, you will lead initiatives to design, implement, and maintain cutting-edge infrastructure solutions while mentoring a team of experienced professionals.</p><p><br></p><p>Responsibilities:</p><p>• Lead the development and implementation of enterprise infrastructure solutions, including servers, storage, networking, virtualization, and cloud technologies.</p><p>• Provide technical guidance and support to the Systems Support team, addressing escalated issues and ensuring efficient task management.</p><p>• Oversee infrastructure and AI-related projects, ensuring alignment with organizational goals and strategies.</p><p>• Design and implement infrastructure to support AI initiatives, including data pipelines, model training, and inference workloads.</p><p>• Collaborate with cross-functional teams to deploy and maintain AI tools, APIs, and services such as machine learning platforms and computer vision systems.</p><p>• Ensure the creation and upkeep of technical documentation and standard operating procedures.</p><p>• Mentor team members to enhance their technical expertise and accountability while facilitating proper onboarding and training.</p><p>• Maintain server and security configurations in compliance with industry standards and best practices.</p><p>• Plan and execute the installation, configuration, and testing of hardware, software, and system management tools.</p><p>• Promote proactive system management practices, including monitoring, patching, and endpoint configuration.</p>
<p><strong>Description:</strong></p><p>We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.</p><p><br></p><p> <strong>Essential Functions:</strong></p><ul><li>Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R& D knowledge mining, regulatory intelligence, and medical information services.</li><li>Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).</li><li>Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).</li><li>Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.</li><li>Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.</li><li>Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.</li><li>Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.</li></ul><p><br></p>
<p>Job Title: Data Scientist (with Data Engineering Expertise)</p><p>Location: Atlanta GA</p><p>Hybrid 3 days onsite</p><p><br></p><p>Overview</p><p>We are looking for a highly motivated and skilled Data Scientist who also brings strong Data Engineering capabilities. This is a hybrid role with a primary focus on data science—developing advanced analytics and predictive solutions—while also requiring flexibility to support data engineering efforts and responsibilities when needed (you will be deeply analytical, technically proficient, and capable of leveraging tools like Databricks, SQL, ETL pipelines, PySpark, and Python as well).</p><p>In this position, you’ll have end-to-end ownership of identifying and understanding data-driven business opportunities and translating them into actionable, predictive, and scalable analytics solutions. You’ll take ownership of converting data into actionable insights that drive business value and support our customers' strategic goals.</p><p>You'll build data-driven applications that solve real-world business challenges and partner with both internal teams and customers to deliver high-impact outcomes. This is a strategic and hands-on role where curiosity, technical expertise, and a passion for creating value through data are essential. If you're passionate about solving complex business problems with data and enjoy working in a fast-paced, customer-focused environment, this role is for you.</p><p><br></p><p>Key Responsibilities</p><p>Data Science</p><ul><li>Partner with customers and internal stakeholders to identify business opportunities and deliver predictive, actionable solutions</li><li>Develop data-driven applications that solve real-world customer problems</li><li>Stay current with trends in machine learning and AI, and apply best-in-class tools, libraries, and technologies</li><li>Serve as a subject matter expert on generating insights from data and developing machine learning models</li><li>Design and build intuitive, interactive data visualizations to communicate findings</li><li>Lead pilot projects with customers, measure business value and impact</li><li>Transition successful pilots into production-ready commercial applications</li><li>Collaborate with platform architects to ensure designs align with security and architecture best practices</li><li>Review code and solutions before deployment to ensure quality and performance</li><li>Work with and oversee contractors to deliver high-quality outcomes</li></ul><p>Data Engineering</p><ul><li>Design and develop high-performance data ingestion pipelines using Azure Databricks and Azure Data Factory</li><li>Work with event-based streaming technologies to process real-time data</li><li>Architect and implement scalable Data Lakehouse solutions</li><li>Support development and delivery of related components such as APIs and search functionality</li><li>Evaluate and select tools based on technical performance and customer requirements</li><li>Operate within Agile and DevOps frameworks to deliver iteratively from proof-of-concept to production</li><li>Ensure all engineering solutions meet security and enterprise architecture standards</li><li>Perform thorough code reviews to maintain high-quality standards</li></ul>
<p><strong>Job Summary:</strong></p><p> The Data Engineer will build and optimize data pipelines, ensuring reliable data collection, storage, and access for analytics and machine learning use cases. This role will work closely with analytics and engineering teams to design scalable data architectures.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain ETL/ELT pipelines for structured and unstructured data.</li><li>Integrate data from multiple sources into cloud data warehouses (Snowflake, BigQuery, Redshift).</li><li>Optimize data storage and retrieval for performance and scalability.</li><li>Collaborate with analysts and data scientists to ensure data quality.</li><li>Implement data governance and security best practices.</li></ul><p><br></p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
<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>
We are looking for a talented Innovation Developer to join our team on a long-term contract basis. This role involves exploring cutting-edge technologies to create innovative solutions and improve existing processes through hands-on prototyping and development. As part of our team in King of Prussia, Pennsylvania, you will contribute to exciting projects in areas like AI, machine learning, blockchain, and user experience design.<br><br>Responsibilities:<br>• Develop and prototype innovative solutions using modern technologies such as AI, machine learning, and blockchain.<br>• Collaborate with cross-functional teams to define project goals and execute on loosely defined requirements.<br>• Conduct hypothesis testing, reverse engineering, and solution architecture to validate ideas and concepts.<br>• Create and maintain technical documentation and project summaries to communicate findings effectively.<br>• Contribute to the design and implementation of small-scale technology pilots to test new concepts.<br>• Utilize coding languages like Python and TypeScript for development tasks, with optional experience in Go or Java.<br>• Leverage tools like GitHub, Atlassian Jira, and Confluence to support project development and collaboration.<br>• Present results and findings to stakeholders through clear and engaging demonstrations.<br>• Foster a user-centric approach, ensuring solutions align with end-user needs and expectations.<br>• Stay informed on emerging technologies to identify opportunities for innovation.
We are looking for a skilled Systems Engineer to join our team in Livonia, Michigan. This is an on-site, Contract-to-Permanent position that requires hands-on expertise in managing infrastructure, networking, and cloud-based systems. The ideal candidate will excel in troubleshooting complex issues and delivering high-quality technical solutions for both internal and external stakeholders.<br><br>Responsibilities:<br>• Lead and manage client projects from initial planning stages through implementation.<br>• Configure and maintain Windows Server environments, including hardware setup and optimization.<br>• Design and implement backup strategies to ensure system reliability and data protection.<br>• Manage Layer 3 switching tasks, including VLAN configurations, link aggregation, and routing protocols.<br>• Administer Microsoft 365 environments, including Exchange Online, Intune, and Azure AD, while ensuring proper licensing structures.<br>• Configure enterprise firewalls and manage VPN tunnels for secure communication.<br>• Utilize Entra ID (Azure AD) for hybrid identity and access management solutions.<br>• Develop and enforce Microsoft Intune policies for device management and security.<br>• Support Hybrid-Active Directory environments and manage Group Policy configurations.<br>• Provide technical support for applications running on Windows Server operating systems and participate in on-call rotations.
<p>We are looking for a skilled Lead Full Stack Software Engineer to join our team in Sherman, Illinois. This long-term contract role requires an experienced individual capable of independently addressing complex system analysis challenges and providing expert-level guidance. If you have a strong background in application systems analysis and are passionate about solving intricate problems, this position offers an exciting opportunity to make a significant impact.</p><p><br></p><p>As a Lead Full-stack Software Engineer, you will move beyond building applications to designing, leading, and guiding the engineering direction of our internal web solutions.</p><p>You will set the bar for engineering excellence, mentor junior engineers, and take ownership of system architecture while remaining hands-on with critical builds and AI-powered feature development.</p><p>This role is ideal for someone who thrives in balancing hands-on development with leading others, influencing architecture decisions, and driving innovation. You’ll partner closely with business stakeholders and data engineering to ensure our solutions are scalable, reliable, and impactful.</p><p><br></p><p>What you will do</p><p>Technical Leadership & Architecture</p><ul><li>Design and lead the architecture of modern, scalable full-stack applications.</li><li>Provide technical guidance, code reviews, and mentorship to G9/G10 engineers.</li><li>Lead integration of AI-powered features into existing and new applications.</li><li>Collaborate with product and business stakeholders to align engineering solutions with business objectives.</li></ul><p>Software Engineering – New Development</p><ul><li>Lead design, development, testing, and deployment of greenfield full-stack applications.</li><li>Drive modernization efforts: migrate and redesign legacy apps into Flask/Next.js.</li><li>Partner with the data engineering team to modernize ETL pipelines.</li></ul><p>Maintenance & Reliability</p><ul><li>Act as a technical escalation point for production issues.</li><li>Oversee and improve performance, reliability, and maintainability of core apps</li></ul>
<p><strong>About the Role:</strong></p><p> We are seeking a <strong>Senior Software Engineer</strong> with deep expertise in <strong>C#, .NET, SQL, and Azure</strong> to design, build, and deliver high-performing applications. In this role, you’ll work closely with cross-functional teams to architect scalable solutions, optimize system performance, and mentor junior developers. This is an excellent opportunity for a highly motivated engineer to influence technical strategy and drive impactful projects.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain applications using <strong>C# and the .NET stack</strong>.</li><li>Build and optimize database solutions using <strong>SQL Server</strong>.</li><li>Develop and deploy cloud-based applications on <strong>Microsoft Azure</strong>.</li><li>Collaborate with business stakeholders and product teams to define requirements and translate them into scalable solutions.</li><li>Participate in code reviews, testing, and troubleshooting to ensure high-quality deliverables.</li><li>Optimize system performance, scalability, and reliability.</li><li>Mentor junior engineers and contribute to best practices across the team.</li><li>Stay current with emerging technologies and recommend improvements to architecture and tools.</li></ul><p><br></p>
