Pune, Maharashtra, India
Information Technology
Other
Cogneesol
Overview
Job Location: [Mohali / Pune]
Experience: 4+ years
Skill Sets:
- Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow)
- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models
- Strong experience in NLP, fine-tuning transformer models, and dataset preparation
- Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)
- Experience in containerization (Docker, Kubernetes) and CI/CD pipelines
- Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)
- Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection
Roles & Responsibilities:
- Design and implement end-to-end ML pipelines from data ingestion to production
- Develop, fine-tune, and optimize ML models, ensuring high performance and scalability
- Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc)
- Automate model retraining, monitoring, and drift detection
- Collaborate with engineering teams for seamless ML integration
Mentor junior team members and enforce best practices
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