Location: Pune
Experience: 5–6 Years
Key Responsibilities
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Develop and maintain scalable infrastructure for real-time AI/ML workloads.
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Build end-to-end ML training, deployment, and automation pipelines.
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Create effective monitoring dashboards and perform system performance testing.
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Collaborate with cross-functional teams and support model lifecycle management.
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Identify and resolve infrastructure or deployment issues.
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Maintain clear technical documentation and enforce engineering best practices.
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Mentor junior engineers and contribute to architectural improvements.
Skills & Qualifications
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Strong hands-on programming skills in Python.
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Proficiency with Linux, Docker, and cloud platforms (Azure, GCP, or AWS).
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Experience with CI/CD pipelines and MLOps tools (e.g., Azure ML).
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Knowledge of popular AI/ML frameworks such as PyTorch, TensorFlow, ONNX (preferred).
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Familiarity with Agile methodologies (Scrum/Kanban).
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Excellent analytical thinking, communication, and problem-solving abilities.
Apply now: hr@techfokes.com