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Software Engineer-Machine Learning

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Description



ML Engineers

Purpose: Build, fine-tune, and optimize ML models for production use.
Key Responsibilities:
    • Develop and fine-tune ML/AI models
    • Convert prototypes into production-ready systems
    • Work closely with MLOps for deployment
    • Optimize models for performance, latency, and scalability
    • Integrate models with APIs/services
Key Skills:
    • Strong in Python + ML frameworks (PyTorch, TensorFlow)
    • Experience with model optimization & fine-tuning
    • Understanding of LLMs / modern ML systems (preferred)
    • Experience with serving models in production

Skills

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See also

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