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MLOps Engineer || Immediate Joiners @ Innodata India

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 MLOps Engineer || Immediate Joiners

Job Description

Role & responsibilities


Machine Learning Engineer / MLOps Engineer -


Remote Focus: Productionize models and build scalable, automated ML pipelines.


What You Get to Do Every Day (Responsibilities)

Convert data science prototypes into production-ready, scalable models and services

Develop and maintain automated CI/CD pipelines for model training, testing, deployment, and rollback.

Implement monitoring, logging, and alerting systems to track model performance, drift, and data anomalies in production.

Manage model versioning, reproducibility, and containerization (e.g., Docker, Kubernetes). Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Proven experience in designing and implementing AI/ML models.

Proficiency in programming languages such as Python, R, or Java.

Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).

Experience with CI/CD pipelines and tools..

Experience with containerization technologies (e.g., Docker, Kubernetes).


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Innodata India
Location(s): Noida, Gurugram

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Keyskills:   MLOps AI/ML CI/CD Model Development

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₹ 17-25 Lacs P.A

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Innodata India

Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performan...