Machine Learning Engineer

About the Role

Develop cutting-edge AI models and deploy them into production to drive our intelligent product features.

Responsibilities

• Train, tune, and deploy machine learning and deep learning models.
• Build ML pipelines for continuous training and integration.
• Collaborate with data scientists to transition prototypes to production.
• Optimize models for latency and compute efficiency.

Requirements

• 4+ years of ML engineering or data science experience.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience deploying models using SageMaker or equivalent.
• Strong foundation in mathematics, statistics, and algorithms.

Nice to Have

• Experience with LLMs and prompt engineering.
• Familiarity with MLflow or Weights & Biases.

How to Apply

Send your resume to [email protected] with the subject line "Machine Learning Engineer – CA".

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