Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model and LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement.
Design, build, and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data.
Implement RAG pipelines using vector databases and embedding strategies.
Fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks.
Lead the end-to-end lifecycle of AI models from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP).

Requirements

A bachelors' degree in a related field and at least 5 years of experience designing and deploying production-grade AI/ML solutions.
At least 5 years' experience working in Python and SQL, with hands-on experience in AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
Proven experience with cloud-native development and data warehousing solutions (Snowflake, Azure Data Lake, AWS S3, or equivalent).
Strong knowledge of LLMs, transformers, NLP, agentic modeling, and reinforcement learning concepts.
Experience with open and commercial LLMs, RAG pipelines, and agent frameworks (LangGraph, LangChain Agents, DSPy, or equivalent).
Experience building data ETL/ELT pipelines and deploying models using Docker/Kubernetes, CI/CD, and monitoring/observability tools.
Familiarity with model risk management and trustworthy AI practices, especially in regulated industries.
Strong analytical, problem-solving, and communication skills; comfortable working across technical teams and business stakeholders.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML project lifecycledata acquisitionfeature engineeringmodel selectionLLM fine-tuningPythonSQLscikit-learnTensorFlowPyTorch

Soft Skills

analytical skillsproblem-solvingcommunication skills