Posted:3 months ago|
Platform:
Work from Office
Full Time
Role & responsibilities Proficiency in Python, TensorFlow, PyTorch, and basic ML/DL concepts Experience in containerization (Docker, Kubernetes) and cloud-based deployments Familiarity with NLP, embeddings, and transformer models Strong software engineering skills, CI/CD pipelines, and API integration (Flask, FastAPI) Understanding of model evaluation and performance tuning Exposure to MLOps tools (MLflow, Kubeflow) and model observability (Prometheus, Grafana) Preferred candidate profile Assist in building and deploying ML models with best practices Containerize and ship ML models for production use Compare and evaluate model performance, ensuring optimal results Support model fine-tuning and dataset preparation Collaborate on ML workflow automation and monitoring Document processes and stay updated with ML advancements
Cogneesol
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My Connections Cogneesol
Pune, Mohali
4.0 - 9.0 Lacs P.A.