Description

Design, train, and deploy machine learning models with a focus on fast and reliable experimentation, building APIs and microservices to serve models at scale.

This role is on-site.

Responsibilities

• Develop and maintain data ingestion, preprocessing, and training pipelines.
• Define and execute end-to-end ML solutions from ideation to production.
• Monitor model performance in production using statistical and ML-based methods.
• Build APIs and microservices to serve ML models at scale.
• Lead or contribute to POCs and full-scale ML rollouts in an agile environment.

Required Skills

• Strong expertise in Machine Learning algorithms and workflows.
• Proficiency in Python and ML libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Hands-on programming experience in Java for backend development and integration.
• Experience with end-to-end ML model development, training, deployment, and monitoring.
• Bachelor's degree with 4+ years of relevant experience OR Master's degree with 3+ years.
• Degree in Computer Science, Machine Learning, Data Science, or related field.

Preferred Skills

• Familiarity with AI/ML advanced concepts (deep learning, reinforcement learning, NLP, computer vision).
• Knowledge of cloud-based ML deployments.

Key Skills

Education

Any Graduate