AIML Engineer_103907

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.

Good 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.