Python Developer - AI/ML

Python Developer

Key Responsibilities

• Develop, train, and optimize AI/ML models using

  TensorFlow

  and associated libraries.
• Write clean, efficient, and well-structured Python code using

  NumPy, SciPy

  , and other scientific computing tools.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, and model evaluation.
  
• Deploy ML models on

  AWS

  using services such as EC2, Lambda, S3, SageMaker, etc.
• Create and maintain

  Docker

  containers for deployment and testing environments.
• Collaborate with data scientists, product managers, and engineering teams to build scalable ML solutions.
  
• Monitor model performance and implement continuous improvements.
  
• Document ML workflows, experiments, and best practices.
  

Required Skills & Qualifications

• Strong proficiency in

  Python

  with experience in AI/ML development.
• Hands-on experience with

  TensorFlow

  (Keras, TF Lite, or TF Serving).
• Solid understanding of

  NumPy, SciPy

  , Pandas, and other scientific libraries.
• Experience in deploying ML models on

  AWS

  (EC2, S3, Lambda, SageMaker, ECR, etc.).
• Practical experience with

  Docker

  for containerization and microservices.
• Strong understanding of machine learning algorithms, model lifecycle, and MLOps practices.
  
• Ability to write optimized, scalable, and well-documented code.
  
• Good problem-solving skills and ability to work in a fast-paced environment.