AI Developer
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
Qualifications
- Position: Lead / Manager AI-ML Engineer
- Experience: Minimum 8+ years
- Location: Remote (Pan-India)
- Employment Type: Full-Time
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.