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.
Solid 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.

📌 Aiml Engineer Bengaluru (India)
🏢 MyCareernet
📍 India