ML & Generative AI DeveloperSenior Individual Contributor | 6–8 Years Experience

Role OverviewWe are looking for a seasoned ML & Generative AI Developer with 6–8 years of hands-on experience to join our AI/ML team. The ideal candidate will bring deep expertise across the full machine learning lifecycle — from model design and training to production deployment — alongside robust command of modern Generative AI technologies, including LLM fine-tuning, RAG pipelines, and autonomous agentic systems.

Department:Artificial Intelligence & Machine LearningLevel:Senior Individual ContributorExperience:6–8 YearsEmployment Type:Full-timeLocation:In Office

Key Responsibilities
Machine Learning Model Development
- Design, develop, and optimize end-to-end machine learning models for classification, regression, NLP, computer vision, and recommendation tasks.
- Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation using industry-standard frameworks.
- Ensure models meet production-grade accuracy, latency, and scalability requirements.





Training Pipelines & Data Infrastructure
- Architect and implement scalable ML training pipelines with robust data ingestion, preprocessing, augmentation, and validation stages.
- Design and manage distributed training workflows (single-node and multi-GPU/TPU clusters) using frameworks such as PyTorch, TensorFlow, and JAX.
- Build automated experiment tracking and reproducibility systems using tools like MLflow, Weights & Biases, or DVC.

MLOps & Production Engineering
- Deploy, monitor, and maintain ML models in production using containerized (Docker, Kubernetes) and cloud-native infrastructure.
- Establish CI/CD pipelines for model training, evaluation, versioning, and automated re-training triggers.
- Implement model performance monitoring, drift detection, and alerting systems to ensure sustained model health.
- Manage model registries and artifacts using platforms such as SageMaker, Vertex AI, Azure M

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