Description

You will design, build, and deploy machine learning and generative AI models using state-of-the-art architectures.

This role is on-site.

Responsibilities

• Develop maintainable Python code for data preprocessing, model training, evaluation, and monitoring.
• Collaborate with data scientists and product teams to implement AI-driven features.
• Optimize models for performance, scalability, and efficiency in production.
• Stay current with ML and Gen AI advancements and evaluate emerging techniques.
• Document model architectures and share technical knowledge across the team.

Required Skills

• 5+ years of experience in ML/AI engineering.
• Proficiency in Python for ML pipelines and software engineering.
• Solid understanding of deep learning, neural networks, and generative models (LLMs, diffusion models, GANs, VAEs).
• Experience with modern ML frameworks (TensorFlow, PyTorch, JAX).
• Familiarity with MLOps concepts, versioning, and CI/CD pipelines.
• Experience working with large datasets and feature engineering.
• Knowledge of cloud platforms (AWS, GCP, Azure).
• Proficiency with Docker and Git.

Preferred Skills

• Bachelor's or Master's degrees in Computer Science or related field.

Key Skills

Education

Bachelor's or Master's degrees