Mlops Enginner
2 weeks ago
**Status**: Full Time, Employee**
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**Experience**: 4+ years**
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**Qualification**: B.Tech./ B.E./ M.Tech degree in Computer Science or equivalent software engineering**
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**Location**: Baner, Pune**
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**Roles & Responsibilities**:
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**Design and implement ML model deployment pipelines, ensuring models are versioned, scalable, and accessible.**
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**Collaborate with data scientists and software engineers to integrate ML models into production systems.**
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**Monitor and manage the performance of deployed models, including troubleshooting and updating models as necessary.**
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**Develop and maintain documentation for machine learning operations processes and best practices.**
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**Ensure compliance with data privacy and security policies throughout the ML lifecycle.**
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**Optimize ML and data processing pipelines for performance and cost efficiency.**
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**Stay updated with the latest technologies and trends in MLOps, machine learning, and AI.**
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**Requirements**:
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**4+ years of hands-on experience in deploying and managing ML models in production environments.**
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**Strong programming skills in Python, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).**
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**Experience with cloud services (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).**
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**Knowledge of CI/CD practices and tools (e.g., Jenkins, GitLab CI).**
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**Familiarity with data pipeline and workflow management tools (e.g., Airflow, Kubeflow).**
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**Excellent problem-solving and analytical skills.**
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**Strong communication and collaboration skills to work effectively across teams.**
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**What We Offer You**:
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**A constant stream of new things for you to learn. We're always expanding into new areas and exploring new ideas.**
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**A set of extraordinarily talented and dedicated peers.**
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**A stable, collaborative, and supportive work environment.**
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**Compensation**:
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