Data & AI Engineer

Note: Only independent visa candidate can apply Role: Data & AI Lead Location: Minneapolis, MN (Onsite ) Duration: Long-Term Contract Key Responsibilities: • Lead end-to-end delivery of Data Science, Machine Learning, and AI solutions • Drive architecture and implementation of scalable data platforms and AI systems • Collaborate with cross-functional teams to translate business requirements into technical solutions • Provide technical leadership, mentoring, and guidance to engineering teams • Build customer-centric, data-driven solutions aligned with business goals Required Skills & Expertise: Data Science & AI/ML: • Strong experience in Generative AI, RAG, and LLMs • Proficiency in Python and SQL • Hands-on experience with PyTorch, TensorFlow, Scikit-learn, Pandas, Polars • Solid understanding of statistical analysis, hypothesis testing, and predictive modeling Data Engineering: • Experience with Snowflake, Databricks, Redshift, DynamoDB • Strong knowledge of Spark, Airflow, AWS Glue, MS Fabric • Experience building scalable data pipelines and architectures • Familiarity with FastAPI and Tableau Full Stack & Cloud: • Expertise in AWS (Solutions Architect preferred) and Azure • Experience with Kubernetes, Docker, CI/CD pipelines • Hands-on with GitHub Actions, Terraform, React, TypeScript Big Data & Architecture: • Strong experience with Data Warehousing / Lakehouse architectures • Expertise in Solution Architecture and Big Data ecosystems (AWS/Azure) • Experience in BI, visualization, and dashboarding Leadership & Business Skills: • Strong technical leadership and team-building experience • Experience in Agile engineering management • Ability to drive strategic planning, project estimation, and execution • Excellent communication and cross-functional collaboration skills • Business mindset with focus on growth and innovation