Key Skills: AI/ML, MLOps, SQL, Python, Cloud, Data Engineer, Data Engineering, PySpark, AWS, AI Platform Architect, LLM, Data Architecture, Azure, Data Modeling
Roles & Responsibilities:
- Partner with teams to define scalable data and AI/ML solutions aligned with business outcomes.
- Design, build, and maintain robust data pipelines and platforms using Python and Spark/PySpark.
- Develop and deploy end-to-end AI/ML solutions, including data ingestion and model deployment.
- Architect and optimize large-scale data processing systems on cloud platforms.
- Implement MLOps practices, including CI/CD pipelines and model monitoring.
Experience:
- 7+ years of experience in Data Engineering and AI/ML.
- Strong programming skills in Python and SQL.
- Hands-on expertise in Spark/PySpark for data processing.
- Experience with cloud platforms (Azure or AWS).
- Understanding of data modeling and MLOps frameworks.
Valuable to Have:
- Experience with LLMs and Generative AI applications.
- Familiarity with containerization and orchestration tools.
- Prior experience in logistics or supply chain.
Education : Bachelor's degree in a relevant field.