AI/ML Engineer – Python

Job Title:

Experience Required:

Location:

Job Type:

Job Summary:

AI/ML Engineer

Key Responsibilities:

• Design, develop, and deploy

  machine learning and deep learning models

  using Python.
• Work with large datasets to perform

  data cleaning, preprocessing, and feature engineering

  .
• Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions.
• Evaluate and tune model performance using techniques like

  cross-validation

  ,

  hyperparameter tuning

  , etc.
• Use libraries like

  scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy

  , and

  OpenCV

  .
• Deploy ML models using

  APIs, Docker, cloud platforms (AWS, GCP, Azure)

  , or MLOps pipelines.
• Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems.
• Document model workflows, performance metrics, and code for reproducibility and compliance.

Required Skills & Qualifications:

• Bachelor's/Master’s degree in

  Computer Science, Artificial Intelligence, Data Science

  , or related field.
• 4–5 years of experience in

  AI/ML development using Python

  .
• Solid understanding of

  ML algorithms

  (classification, regression, clustering, NLP, computer vision).
• Experience with

  model deployment

  and

  productionizing AI solutions

  .
• Familiarity with

  cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform)

  is a plus.
• Strong analytical, problem-solving, and programming skills.
• Ability to interpret business needs and translate them into technical solutions.

Preferred Tools & Frameworks:

• Python

  ,

  scikit-learn

  ,

  TensorFlow

  ,

  Keras

  ,

  PyTorch

• Pandas

  ,

  NumPy

  ,

  Matplotlib

  ,

  Seaborn

• Flask/FastAPI

  for deploying models

• MLflow

  ,

  Docker

  ,

  Git

  ,

  Jupyter Notebooks

• Exposure to

  NLP

  ,

  Computer Vision

  , or

  Reinforcement Learning

  is a plus

Certifications (Optional but Preferred):

• TensorFlow Developer Certificate

• AWS Certified Machine Learning – Specialty

• Google Professional ML Engineer

• Microsoft Certified: Azure AI Engineer Associate