Machine Learning Engineer

About the Organization-

Impetus Technologies

Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.

Role:

Experience:

Locations

The ML & Generative AI Developer will design, build, deploy, and optimize Machine Learning and Generative AI solutions. The role emphasizes hands-on development with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agent-based AI systems, focusing on practical, production-ready implementations.

Key Responsibilities

• Design, develop, and deploy ML and GenAI solutions for real-world use cases.
• Build LLM-driven applications, including prompt engineering and RAG-based architectures.
• Implement agentic AI workflows under the guidance of the Lead or Architect.
• Collect, clean, and preprocess structured and unstructured data.
• Integrate ML and GenAI components with backend systems and APIs.
• Evaluate, monitor, and optimize model performance.
• Adhere to best practices in coding standards, version control, and deployment.
• Collaborate with cross-functional teams to deliver end-to-end solutions.

Required Skills & Qualifications

• Strong proficiency in Python programming.
• Hands-on experience with Machine Learning and Natural Language Processing (NLP).
• Practical experience with LLMs and GenAI frameworks such as LangChain and LlamaIndex.
• Solid understanding of RAG pipelines and vector databases.
• Experience with ML frameworks including PyTorch, TensorFlow, or Scikit-learn.
• Basic knowledge of cloud platforms and containerization technologies.
• Familiarity with Git, CI/CD pipelines, and API development.

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