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Strong employer brand but senior, specialized ML role limits applicants, yielding medium competition.
Requires deep ML/LLM and MLOps expertise, making cross-industry transfers difficult.
Explicit 8+ years plus mandatory ML, cloud, and MLOps skills create highly strict shortlisting filters.
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Design, develop, deploy, and maintain AI/ML-powered applications and intelligent systems across end-to-end machine learning lifecycle.
Build scalable AI solutions leveraging Large Language Models (LLMs), foundation models, and Retrieval-Augmented Generation (RAG) techniques.
Lead technical initiatives, optimize model performance and scalability, maintain MLOps pipelines, and mentor junior engineers.
Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or related field.
8+ years software engineering experience with significant AI/ML development hands-on experience.
Strong programming skills in Python; experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
Experience with Generative AI, LLMs (e.g., Hugging Face), building REST APIs/microservices, and cloud platforms such as Azure, AWS, or GCP.
Experienced in building and productionizing enterprise-scale AI/ML platforms and solutions with a strong understanding of distributed systems and performance optimization.
Demonstrates strong ownership and accountability for delivering high-quality, production-ready AI solutions and leading engineering teams.
Proficient across the complete ML lifecycle, including MLOps, model monitoring, automated deployment, and continuous optimization.