· Design, develop, and deploy machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and/or generative AI tasks.
· Build end\-to\-end ML pipelines: data preprocessing, model training, validation, evaluation, and deployment.
· Implement state\-of\-the\-art algorithms using frameworks such as PyTorch, TensorFlow, or similar.
· Conduct experiments with LLMs and foundation models (e.g., GPT, BERT, Stable Diffusion, etc.).
· Collaborate with data engineers, product teams, and stakeholders to translate business requirements into ML solutions.
· Optimize model performance and scalability for production environments.
· Stay up\-to\-date with the latest research and developments in AI/ML/DL/Generative AI.
· Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field.
· Experience in machine learning, deep learning, or AI product development.
· Proficiency in Python and ML libraries such as Scikit\-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc.
· Experience working with generative models (GANs, VAEs, diffusion models, or LLMs).
· Strong understanding of ML model lifecycle: training, tuning, evaluation, and deployment.
· Experience with MLOps tools (e.g., MLflow, Docker, Kubeflow) is a plus.
· Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
· Basic understanding of web development and APIs for integrating ML models into applications.
Pay: ₹665,828\.01 \- ₹1,931,110\.83 per year
Work Location: In person
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