Description

You will design, develop, and deploy machine learning models and distributed microservices.

This role is hybrid.

Responsibilities

• Develop and deploy AI/ML models using TensorFlow, PyTorch, or scikit-learn.
• Design and implement distributed systems and microservices architectures.
• Build and manage containerized services and cloud resources across Azure, GCP, or AWS.
• Execute data preprocessing, feature engineering, and model evaluation techniques.
• Integrate RESTful webservices and manage API integrations.

Required Skills

• 5+ years of experience in AI/ML model development and deployment.
• 5+ years of experience with API integration and RESTful webservices.
• Proficiency in Python, Java, or R.
• Experience with large and small language models (GPT, Phi, Llama, BERT).
• Hands-on experience with TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms including Azure, GCP, or AWS.
• Proficiency with Git and CI/CD pipelines.
• Background in distributed systems design and microservices.
• Bachelor’s or master’s degree in Computer Science, Data Science, or a related field.

Preferred Skills

• Experience deploying models to edge devices.
• Rapid prototyping expertise.

Key Skills

Education

Any Graduate