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ML/MLOps Engineer
Tata Consultancy Services's logo

ML/MLOps Engineer

4 - 8 yrs
₹5L - ₹20L / yr
Chennai, Kochi (Cochin), Bengaluru (Bangalore), Kolkata, Thiruvananthapuram
Skills
skill iconMachine Learning (ML)
skill iconPython
MLOps

Machine Learning (ML) / MLOps Engineer Job Description

An ML/MLOps Engineer is responsible for designing, developing, and deploying machine learning models and pipelines. Here's a brief overview:


Key Responsibilities

- Model Development: Design and develop machine learning models using various algorithms and techniques.

- MLOps: Implement and manage machine learning pipelines, including data preparation, model training, and deployment.

- Model Deployment: Deploy machine learning models to production environments, ensuring scalability and reliability.

- Model Monitoring: Monitor model performance and retrain models as needed to maintain accuracy and relevance.

- Collaboration: Collaborate with cross-functional teams, including data scientists, product managers, and engineers.


Technical Skills

- Machine Learning: Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning.

- Programming: Proficiency in programming languages like Python, R, or Julia.

- ML Frameworks: Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

- MLOps Tools: Familiarity with MLOps tools like TensorFlow Extended (TFX), MLflow, or Kubeflow.

- Cloud Platforms: Experience with cloud platforms like AWS, Azure, or GCP.

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About Tata Consultancy Services

Founded :
2015
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Tata Consultancy Services’ IT services, consulting and business solutions deliver real results to global businesses to help them experience certainty.
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