We are looking for a highly skilled and motivated AI/ML Development Team Lead to drive our machine learning initiatives, lead a talented team, and design end-to-end AI solutions. The ideal candidate has strong technical expertise, proven leadership experience, and a passion for building innovative systems using modern AI technologies, including LLMs and generative AI.
Experience—7+ years
Job Location - Mohali
Key Responsibilities
Technical Leadership, Architecture & R&D
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Lead the full lifecycle of AI/ML solution development—from architecture and data pipelines to model deployment and post-production support.
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Build and optimize ML models across NLP, computer vision, recommendation systems, forecasting, and other core domains.
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Integrate, fine-tune, and deploy advanced LLMs such as GPT, BERT, and LLaMA.
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Evaluate and choose the right ML frameworks, tools, cloud platforms, and data technologies.
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Set up and manage reliable MLOps pipelines, including CI/CD, model tracking, performance monitoring, and drift detection.
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Drive experimentation, PoCs, benchmarking, and research initiatives.
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Identify opportunities where AI can solve business challenges and create measurable impact.
Team Leadership & Collaboration
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Lead, mentor, and grow a team of ML engineers, data scientists, and research engineers.
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Conduct code reviews, provide technical guidance, and promote best practices in ML development and MLOps.
Stakeholder & Project Management
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Work with leadership and cross-functional teams to define AI strategy, roadmap, and key success metrics.
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Translate business needs into actionable technical plans and ensure timely, high-quality execution.
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Create architectural documents, technical proposals, and progress reports for stakeholders.
Required Qualifications
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7+ years of experience after completing a bachelor's or master's degree in a related field.
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Strong expertise in machine learning algorithms, deep learning, and neural network design.
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Hands-on experience with ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
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Practical experience with LLMs, transformer models, prompt engineering, fine-tuning, and embeddings.
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Strong programming skills in Python and experience with cloud platforms like AWS, Azure, or GCP.
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Excellent problem-solving, system design, and communication skills.
Added Advantage
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Certifications in AI/ML, cloud computing, or data engineering.