ML Ops
Tata Consultancy Services · Kolkata · onsite · Posted 28d ago
Undisclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Proficient in Python programming
- Hands-on experience with ML Models
- Strong knowledge of machine learning algorithms and techniques
- Familiarity with data preprocessing and feature engineering
- Experience with libraries such as TensorFlow, PyTorch, scikit-learn and XGBoost etc.
- Ability to deploy and manage ML models in production
- Develop and implement machine learning models, including advanced use of Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis and conversational AI.
- Create end-to-end ML pipelines, ensuring automation of training, deployment, testing, and monitoring.
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions, ensuring compliance with security and privacy standards.
- Optimize and fine-tune ML models for performance, scalability, and cost efficiency.
- Proven success in building conversational AI agents, integrating LLMs, and deploying custom ML models on GCP.
Sourced from naukri
Skills
MLOpsNatural Language ProcessingLarge Language ModelPythonMLOPMachine Learning
About TCS
Tata Consultancy Services
IT Services & Consulting
608.0k+
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1968
58 years old
Mumbai, Maharashtra
India
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