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Senior Data & AI/ML Engineer - Wellfit Technologies
ML Engineer
Lead end‑to‑end data and AI/ML initiatives, building scalable pipelines, models, and insights on AWS to drive business decisions and product innovation.
About the role
Key Responsibilities
- Design, develop, and maintain production‑grade data pipelines and ML workflows on AWS, ensuring reliability and scalability.
- Collaborate with product, engineering, and analytics teams to translate business problems into data‑driven solutions.
- Build and deploy machine learning models using Python, Spark, and SageMaker, monitoring performance and iterating for improvement.
- Implement robust data quality, governance, and security practices across the data ecosystem.
- Mentor junior engineers and promote best practices in data engineering and ML engineering.
Requirements
- 5+ years of experience in data engineering and ML engineering roles.
- Proficiency in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience with AWS services (S3, Redshift, Glue, SageMaker, Lambda).
- Strong understanding of data modeling, ETL, and data lake architecture.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
Skills
pythonmachine learningawssqlapache spark