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>
We are looking for an experienced Data Scientist / AI Engineer to join our team in Raleigh, North Carolina. This Contract-to-permanent position offers an exciting opportunity to work on cutting-edge projects involving machine learning, artificial intelligence, and advanced data solutions. The ideal candidate will bring a strong technical background, innovative problem-solving skills, and a passion for leveraging data to drive impactful results.<br><br>Responsibilities:<br>• Design and implement complex Python applications, ensuring scalability and reliability.<br>• Develop and optimize machine learning models, including those based on large language models (LLMs).<br>• Utilize serverless architectures and Amazon Web Services (AWS) to build and deploy data solutions.<br>• Work with chains and vector databases to solve multifaceted problems and enhance data processing capabilities.<br>• Perform ETL processes to transform and load data efficiently while maintaining data integrity.<br>• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.<br>• Analyze large datasets to extract actionable insights and build predictive models.<br>• Maintain and improve existing data pipelines and frameworks to ensure optimal performance.<br>• Stay updated on emerging trends in AI and machine learning to incorporate best practices into projects.
<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
<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 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><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>
