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Mid-level ML role in Mumbai with broad required stack attracts high applicant density.
Core ML skills transfer across industries, but CV/NLP and LLM experience raise domain specificity.
Explicit 2–4 years plus mandatory ML stack, deployment, and cloud skills create high strictness.
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Design, develop, and deploy scalable machine learning and deep learning models across NLP, Computer Vision, or Predictive Analytics projects.
Develop and maintain data pipelines for collection, preprocessing, and transformation of data to support AI models.
Collaborate with product, engineering, and data teams to integrate AI solutions and monitor model performance in production environments.
2–4 years of relevant AI/ML engineering experience.
Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
Experience with data preprocessing, feature engineering, and model deployment using Docker or similar tools.
Onsite work in Malad-West, Mumbai location.
Hands-on experience building and optimizing deep learning models for structured and unstructured data.
Familiarity with MLOps practices including model monitoring, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
Comfortable working in cross-functional teams to deliver AI-driven solutions aligned with business needs.