Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Medical, vision, and dental benefits
- 401k retirement plan
- Variable pay/incentives
- Paid time off
- Paid holidays
Company Overview
Company H1B Sponsorship