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Known global employer in Bangalore with broad ML/MLOps requirements and metro location increases candidate competition.
Requires deep ML modeling, deployment and MLOps expertise, so candidate backgrounds must be domain-specific.
Explicit 8+ years and mandatory ML/MLOps/cloud/frameworks create high shortlisting strictness.
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Design and develop scalable AI/ML solutions and models for real-world business problems, covering end-to-end ML lifecycle including deployment and monitoring.
Collaborate with cross-functional teams including Product Owners and Data Engineers to translate business needs into AI solutions and optimize model performance, scalability, and reliability.
Lead code reviews, mentor junior team members, and implement MLOps practices including CI/CD pipelines on cloud platforms (Azure, AWS, or GCP).
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
8+ years of experience in AI/ML development and deployment.
Strong programming skills in Python preferred; experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn mandatory.
Experience with cloud platforms (Azure/AWS/GCP) and MLOps practices including CI/CD for ML models.
Experienced AI Practitioner capable of managing full ML lifecycle from data preparation to production deployment and monitoring in Agile/SAFe environments.
Demonstrates strong stakeholder collaboration skills by translating complex business problems into scalable AI-driven solutions and influencing decision-making.
Comfortable working with large datasets, distributed computing, and leveraging multiple AI/ML techniques (NLP, deep learning, regression, classification).