Description

Key Skills: Python, Machine Learning, PyTorch, TensorFlow, LLMs, Prompt Engineering, RAG Systems, Docker, LangChain, Hugging Face

Good to Have Skills: Experience with generative AI tools like LlamaIndex, understanding of version control systems (Git), awareness of AI compliance, data privacy, and responsible AI principles. Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus. Understanding of hybrid search techniques and basic knowledge of containerization.

Roles & Responsibilities:

• Implement and fine-tune generative AI models under the guidance of senior team members.
• Contribute to prompt engineering and development of AI-powered workflows.
• Assist with the deployment, monitoring, and maintenance of AI models in production environments.
• Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
• Perform data preprocessing, feature engineering, and API development for AI applications.
• Participate in code reviews, testing, and documentation to ensure quality and reliability.
• Stay updated with advancements in GenAI and share relevant learnings with the team.

Experience Required: 8–13 years of professional experience in AI/ML development, with exposure to Generative AI. Experience delivering AI/ML projects in a collaborative setting.

Education: Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a related field.

Key Skills

Education

Any Graduate