Data Scientist / AI Engineer at lemlist, focused on deploying impactful AI use cases. Collaborate with product and engineering teams to drive business results through AI.
About the role
- Principal Data Scientist shaping the future of Generative AI at Walmart. Designing and deploying cutting-edge ML models with a strong applied science background.
Responsibilities
- Architect and build agentic AI systems with capabilities such as planning, memory, tool-use, and multi-agent collaboration.
- Define best practices for LLMOps, including prompt versioning, embedding store management, synthetic data generation, fine-tuning strategies, and continuous evaluation for safety, accuracy, and bias.
- Drive applied research in large language models (LLMs) and multi-modal AI.
- Translate ambiguous, high-impact business problems into scalable AI/ML solutions with measurable outcomes.
- Build and guide end-to-end ML systems covering data sourcing, feature engineering, model training, deployment, monitoring, and iteration.
- Champion advanced MLOps practices: automated pipelines, CI/CD for ML, model versioning, drift detection, and telemetry-based monitoring.
- Ensure models meet standards of fairness, explainability, and responsible AI compliance.
- Serve as a technical leader and mentor, guiding senior engineers and applied scientists to build depth and expertise.
Requirements
- Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
- Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
- Option 3: 7 years' experience in an analytics or related field.
- Deep expertise in Generative AI, LLMs, and/or Agentic AI systems (e.g., LLMOps, fine-tuning, RAG, multi-agent orchestration).
- Strong applied science background with the ability to design, experiment, and deploy cutting-edge ML models in production.
- Proven experience architecting large-scale ML/AI platforms with attention to performance, scalability, and maintainability.
- Strong programming and ML tooling skills (Python; PyTorch/TensorFlow).
- Familiarity with Agentic development platforms (Google ADK, LangGraph, CrewAI, AutoGen).
- Track record of technical leadership, mentoring, and influencing architectural decisions across teams.
Benefits
- Health benefits include medical, vision and dental coverage.
- Financial benefits include 401(k), stock purchase and company-paid life insurance.
- Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
- Live Better U education benefit program for full-time and part-time associates, covering tuition, books, and fees.
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