Data & ML Engineer

Seeking an experienced Data & ML Engineer to design, build, and maintain end‑to‑end data pipelines and machine learning solutions on cloud platforms. The role involves developing scalable data workflows, training and deploying ML models, building APIs and microservices for data products, and applying DevOps practices including CI/CD and infrastructure as code.

• Design, develop, and maintain data pipelines on cloud platforms (Azure, AWS, GCP)
• Build, train, and deploy machine learning models for production use
• Develop APIs and microservices to expose data products
• Implement and maintain CI/CD pipelines and infrastructure as code
• Collaborate with cross‑functional teams to integrate data solutions

• Minimum 5 years of data engineering experience
• At least 3 years of machine learning engineering experience
• Strong skills in developing and deploying data pipelines on Azure, AWS, or Google Cloud
• Experience building machine learning models for real‑world use cases
• Proficiency in creating APIs and microservices for data products
• Expertise in DevOps practices, CI/CD, and infrastructure as code
• Experience with Python, Spark, Databricks, and PySpark
• Knowledge of SQL and NoSQL databases