Senior Data Scientist / ML Engineer (Gen AI)_Boston

Photon is seeking a Senior Data Scientist / ML Engineer specializing in Generative AI to design, evaluate, optimize, and productionize AI/ML solutions for enterprise applications. The role focuses on improving AI accuracy and retrieval quality, reducing hallucinations, and building reliable solutions for enterprise-scale deployments.

Responsibilities:

• Design and develop machine learning and Generative AI solutions
• Build and optimize RAG pipelines, retrieval strategies, embeddings, and semantic search
• Evaluate and benchmark LLMs for accuracy, performance, and reliability
• Develop AI evaluation frameworks for hallucination detection, accuracy measurement, bias/toxicity detection, and ground-truth validation
• Optimize prompts, models, and retrieval workflows
• Collaborate with AI engineering teams to deploy models into production
• Create training, validation, and testing datasets
• Perform model benchmarking, A/B testing, and performance analysis
• Fine-tune foundation models when required
• Implement model monitoring, observability, and ongoing evaluation processes

Requirements:

• 5–10 years of experience in data science, machine learning, or related applied ML roles
• Strong Python programming skills, with Pandas, NumPy, and Scikit-learn
• Strong foundation in supervised/unsupervised learning, statistical modeling, feature engineering, and model evaluation techniques
• Hands-on Generative AI experience with LLM evaluation, prompt engineering, RAG architectures, embedding models, fine-tuning approaches, and agent evaluation frameworks
• Experience with PyTorch and/or TensorFlow
• Exposure to OpenAI models, Claude, Gemini, and/or open-source LLMs
• Experience with vector databases, semantic search, and retrieval optimization
• Experience delivering or supporting production AI/ML solutions in enterprise environments
• Experience working with distributed onshore/offshore teams
• Databricks, MLflow, and Spark
• GraphRAG and Knowledge Graphs; exposure to Neo4j
• Responsible AI, Explainable AI, and AI governance
• Banking or Financial Services domain experience
• Familiarity with Azure AI Foundry, AWS Bedrock, Kubernetes, and AI observability platforms