Description

You will design, build, and deploy machine learning models and AI solutions, owning the lifecycle from data processing to production deployment.

This role is on-site.

Responsibilities

• Develop and optimize machine learning and deep learning models using TensorFlow, PyTorch, or Keras.
• Implement NLP and computer vision solutions to solve complex business problems.
• Deploy models to cloud platforms (AWS, GCP, or Azure) and manage MLOps workflows using tools like MLflow.
• Containerize applications using Docker for scalable and reproducible environments.
• Analyze data and refine algorithms using strong mathematical and statistical foundations.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Proficiency in Python, Java, or R.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Deep understanding of machine learning, deep learning, NLP, and computer vision.
• Experience deploying models on AWS, GCP, or Azure.
• Familiarity with MLOps tools, specifically MLflow.
• Experience with Docker containerization.
• Solid foundation in mathematics and statistics.

Preferred Skills

• Excellent problem-solving and analytical capabilities.
• Strong communication and teamwork abilities.

Key Skills

Education

Any Graduate