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Popular mid-level ML role, metro Bengaluru location, and 5+ years experience increase candidate competition.
Highly specialized ML/AI, MLOps, and cloud requirements limit cross-industry transferability.
Multiple mandatory ML, cloud, MLOps, and data engineering skills plus 5+ years requirement.
Lead architecture, design, and deployment of scalable AI/ML solutions on cloud platforms (AWS, GCP, Azure).
Drive advanced solution development in NLP, computer vision, generative AI, and predictive analytics including model optimization and feature engineering.
Mentor junior engineers and lead cross-functional collaboration to deliver high-impact AI products and ensure best practices in AI governance and MLOps.
5+ years of professional experience in AI/ML, data science, or similar domain.
Proficient in Python and ML/DL frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
Experience with cloud ML deployment platforms such as AWS SageMaker or Google VertexAI.
Strong skills in MLOps/DevOps (Docker, Kubernetes, CI/CD, MLflow, DVC) and data engineering (ETL, batch & streaming, SQL/NoSQL).
Experienced in leading large-scale AI/ML project delivery with end-to-end ownership from design to deployment.
Strong background in enterprise AI product development and digital transformation initiatives.
Comfortable operating in cloud-native environments and introducing cutting-edge AI frameworks and MLOps solutions.