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# Senior Data Scientist / ML Engineer (Gen AI)_Boston

- **Company:** Photon Interactive Services Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $60,000 - $210,000
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, A/B Testing, Artificial Intelligence, Amazon Web Services, Graph Database, Python (Programming Language), Machine Learning, Neo4j, NumPy, Open Source Technology, OpenAI, Tensorflow, Search Technologies, Explainable AI (XAI), Enterprise Software Applications, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Pandas, AI Platforms, Scikit Learn, Kubernetes, Machine Learning Operations, Claude, Evaluation of Large Language Models, Google Gemini, Graph RAG, Unsupervised Learning, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-ml-engineer-gen-ai-boston-boston-ma--8e3d4e19-508f-4cd3-b478-9c497b760ad0

## About the Role

Artificial Intelligence (AI), Data Science, Automation, Enterprise Applications, Data Science, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Software Agents, Benchmarking, Machine Learning, * 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.

Preferred Skills

 * 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.

Soft Skills

 * Clear communication with engineering and business stakeholders.
 * Ability to translate evaluation results into actionable model/product decisions.
 * Comfortable owning quality metrics and trade-offs (accuracy, latency, cost, risk) in a delivery setting.

Compensation, Benefits and Duration

## Description

Primary

 * 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.

Also expected

 * 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.