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.
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 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>A leading consumer technology company is seeking a Contract Data Scientist to join its Ecommerce Product Analytics team for a 6-month engagement. This role supports data-driven decision-making by analyzing user behavior, designing and interpreting A/B tests, and uncovering insights that improve user experience and conversion.</p><p>You’ll collaborate with product managers, engineers, and cross-functional stakeholders to define success metrics, monitor KPIs, and translate findings into actionable recommendations. This is an individual contributor role reporting to the Senior Director of Product Analytics.</p><p><br></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>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>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>
<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>
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.
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.
<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><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 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.
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.
<p>The <strong>AI Adoption & Advocacy Coordinator</strong> is a key contributor to the organization's digital transformation efforts. This role focuses on promoting AI initiatives, fostering internal engagement, and building a culture of innovation. The Coordinator will lead communication strategies, support knowledge sharing, and cultivate communities of practice to drive AI adoption across the enterprise.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and manage internal communications to highlight AI initiatives and updates.</li><li>Facilitate cross-functional knowledge sharing and best practices related to AI.</li><li>Build and support communities of practice focused on AI and emerging technologies.</li><li>Track and report on AI usage, adoption metrics, and organizational impact.</li><li>Partner with stakeholders to identify and support AI integration opportunities.</li><li>Assist in change management efforts to enhance understanding and engagement.</li><li>Organize training sessions, workshops, and events to promote AI literacy and advocacy.</li></ul><p><br></p>
<p>We are looking for an AI Conversation Designer to join our team on a part-time contract basis. This role involves designing and optimizing AI workflows to improve employee efficiency within an insurance organization. Based in New Jersey, you will work closely with cross-functional teams to develop and refine AI tools using Microsoft Copilot and proprietary AI models.</p><p><br></p><p>Responsibilities:</p><p>• Design, test, and refine AI prompts and workflows to automate internal processes and enhance employee productivity.</p><p>• Collaborate with marketing and innovation team members to implement AI strategies tailored to individual roles and tasks.</p><p>• Develop AI agents that integrate seamlessly with Microsoft tools such as SharePoint, Excel, Word, and PowerPoint.</p><p>• Translate business requirements into actionable AI prompt logic to address specific team needs.</p><p>• Optimize existing AI libraries and build new ones to improve agent performance and efficiency.</p><p>• Support employees in leveraging Microsoft Copilot and SelectiveGPT to create virtual coworkers that reduce task completion time.</p><p>• Partner with AI consultants and IT teams to align prompt engineering with broader organizational AI initiatives.</p><p>• Provide technical guidance and support for additional AI-related tasks as needed.</p><p><br></p><p><br></p><p>02720-0013313424</p><p><br></p>
