Description

You will build scalable data and AI solutions using Python and cloud infrastructure.

This role is hybrid.

Responsibilities

• Develop and maintain data pipelines leveraging distributed computing frameworks.
• Orchestrate complex data workflows using workflow management tools.
• Build and deploy microservices and APIs to support data processing tasks.
• Implement solutions utilizing AI/ML principles where appropriate.

Required Skills

• 5+ years of professional Python development experience, including data engineering and ML libraries.
• 4+ years of overall software engineering experience.
• 2+ years of hands-on experience with Apache Spark for distributed computing.
• 2+ years of hands-on experience with Apache Airflow for workflow orchestration.
• Experience with Microservices and API Development.
• Proficiency in at least one major cloud platform (AWS, Azure, or GCP).

Preferred Skills

• Exposure to ML, GenAI, LLMs, and GPU-based computing.

Key Skills

Education

Any Graduate