Description

Architect and implement Generative AI, Data Science, and ML solutions across the full software development lifecycle, from design to deployment.

This role is on-site.

Responsibilities

• Build and customize Generative AI solutions using industry-standard tools and platforms.
• Develop Model Context Protocol (MCP) and Agentic-based solutions using various frameworks.
• Apply prompt engineering techniques to evaluate model behavior, refine prompts, and ensure accuracy.
• Test AI applications, capturing standard and custom metrics to identify bugs and performance bottlenecks.
• Evaluate and integrate new technologies to improve development processes and safety standards.

Required Skills

• 10-12+ years of experience in Data Science, AI, ML, and Generative AI.
• Strong proficiency in Python development.
• Hands-on experience with cloud platforms: AWS, Azure, or GCP.
• Expertise in Generative AI solution implementation and customization.
• Experience building MCP and Agentic-based architectures.
• Bachelor’s degree in computer engineering or equivalent.
• Excellent analytical, problem-solving, and collaboration skills.

Key Skills

Education

Bachelor's degree