The role involves leading AI/ML initiatives, managing a team, defining strategies, and overseeing advanced machine learning solutions including LLMs and RAG.
This is a remote position.
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
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AI/ML Strategy & Leadership
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Define and execute the organization's AI/ML strategy and roadmap.
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Lead and mentor a team of AI/ML engineers and data scientists.
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Ensure best practices for model development, deployment, and scalability.
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Technical Ownership
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Architect and implement advanced machine learning solutions, especially around transformer-based architectures.
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Build and fine-tune Large Language Models (LLMs) for various business use cases.
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Develop and optimize RAG pipelines for production-ready applications.
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Collaborate with cross-functional teams (Product, Engineering, and Data) to translate business requirements into AI-driven solutions.
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Innovation & Research
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Stay updated with cutting-edge AI research and integrate relevant advancements into the company’s solutions.
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Explore and deploy frameworks like Hugging Face Transformers, PyTorch, and other modern ML toolkits.
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End-to-End Delivery
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Oversee the entire lifecycle of ML models—from problem framing, data preparation, and model training to deployment and performance monitoring.
Required Skills & Qualifications
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Experience: Minimum 8+ years of experience in AI/ML, with at least 3+ years in a leadership or managerial role.
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Strong expertise in Generative AI, RAG, and LLM fine-tuning.
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Hands-on proficiency with Python, PyTorch, and transformer-based architectures.
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Deep understanding of Hugging Face Transformers and related frameworks.
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Proven experience handling end-to-end ML operations in production.
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Excellent leadership and communication skills, with the ability to manage and inspire a team.
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Strong problem-solving mindset with a focus on innovation and scalability.
Preferred Skills
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Experience with MLOps tools and cloud platforms like AWS, Azure, or GCP.
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Knowledge of vector databases and modern retrieval techniques.
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Background in data science, analytics, and statistical modeling.
Why Join Us?
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Opportunity to own the complete AI/ML portfolio and shape the future of innovation within the organization.
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Work with cutting-edge technologies and contribute to next-gen Generative AI solutions.
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A fully remote opportunity, open to talented professionals across India.
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A collaborative and growth-focused culture that values innovation.
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