BENGALURU · FULLTIME
MLOps Engineer
Mu Sigma
Bengaluru · onsite · Posted 79d ago
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Not disclosed10–14 yrsfulltimeBengaluru
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Section · 01
About this role
Requirements:
- Strong experience in MLOps and ML lifecycle management.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Hands-on experience with Domino Data Lab, AWS SageMaker, and MLflow.
- Strong understanding of core machine learning concepts.
- Expertise in containerization (Docker, Kubernetes) and model packaging.
- Experience in deploying large GLM/LLM models and serving frameworks.
- Familiarity with model serialisation formats (ONNX, Pickle, TorchScript).
- Knowledge of CI/CD tools and cloud infrastructure.
- Excellent problem-solving and communication skills.
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Section · 02
Skills
DockerKubernetesMLOpsPython
Section · Company
About Mu Sigma
Mu Sigma
Analytics & KPO
3.0k+
employees
2004
22 years old
Northbrook, Illinois
United States (USA)
₹8.6L PA avg
Avg at Mu Sigma
About
Explore MuSigma is a category defining data analytics firm providing big data services, decision sciences and helping enterprises in data-driven decision making.
Industries
Analytics & KPOConsultingIT Services & Consulting
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10 reviews
2.5/ 5
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