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Home / AIML Lead

AIML Lead

  • Full Time
  • Anywhere

Infoya

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

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.

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.

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.

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

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.

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

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