Job description
Job Description: Lead / Manager AI-ML Engineer Position: Lead / Manager AI-ML Engineer Experience: Minimum 8+ years Location: Remote (Pan-India) Employment Type: Full-Time About the Role We are seeking a highly skilled and experienced AI/ML Engineer with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to lead our Machine Learning initiatives.
The ideal candidate will manage a team of talented data scientists and engineers, owning the end-to-end AI/ML portfolio of the organization. This role requires not only strong technical proficiency but also proven team leadership and project management experience.
Key Responsibilities
- AI/ML Strategy & Leadership o Define and execute the organization's AI/ML strategy and roadmap. o Lead and mentor a team of AI/ML engineers and data scientists. o Ensure best practices for model development, deployment, and scalability.
- Technical Ownership o Architect and implement advanced machine learning solutions, especially around transformer-based architectures. o Build and fine-tune Large Language Models (LLMs) for various business use cases. o Develop and optimize RAG pipelines for production-ready applications. o Collaborate with cross-functional teams (Product, Engineering, and Data) to translate business requirements into AI-driven solutions.
- Innovation & Research o Stay updated with cutting-edge AI research and integrate relevant advancements into the company’s solutions. o Explore and deploy frameworks like Hugging Face Transformers, PyTorch, and other modern ML toolkits.
- End-to-End Delivery o Oversee the entire lifecycle of ML models—from problem framing, data preparation, and model training to deployment and performance monitoring.
Required Skills
& Qualifications
- Experience: Minimum 8+ years of experience in AI/ML, with at least 3+ years in a leadership or managerial role.
- Strong expertise in Generative AI, RAG, and LLM fine-tuning.
- Hands-on proficiency with Python, PyTorch, and transformer-based architectures.
- Deep understanding of Hugging Face Transformers and related frameworks.
- Proven experience handling end-to-end ML operations in production.
- Excellent leadership and communication skills, with the ability to manage and inspire a team.
- Strong problem-solving mindset with a focus on innovation and scalability.
Preferred Skills
- Experience with MLOps tools and cloud platforms like AWS, Azure, or GCP.
- Knowledge of vector databases and modern retrieval techniques.
- Background in data science, analytics, and statistical modeling. Why Join Us?
- Opportunity to own the complete AI/ML portfolio and shape the future of innovation within the organization.
- Work with cutting-edge technologies and contribute to next-gen Generative AI solutions.
- A fully remote opportunity, open to talented professionals across India.
- A collaborative and growth-focused culture that values innovation.