Artificial Intelligence Engineer

Job Title: AI / Machine Learning Engineer

About the Role

AI / Machine Learning Engineer with minimum 4 years of experience

• Design, train, and deploy machine learning models

  for NLP, computer vision, recommendation systems, and other AI-driven use cases.

• Integrate ML models into production-ready web and mobile applications

  , ensuring scalability and reliability.
• Build

  APIs and microservices

  for model serving, monitoring, and scaling.
• Leverage

  cloud platforms (AWS, Azure, GCP)

  for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement

  AI-powered features

  such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain

  ETL pipelines, data preprocessing workflows, and feature engineering processes

  .
• Ensure solutions meet

  security, compliance, and performance standards

  .

Skills & Qualifications

• Strong programming skills in

  Python (TensorFlow, PyTorch, Scikit-learn)

  ; familiarity with

  LangChain, Hugging Face, OpenAI API

  is a plus.
• Experience in

  model deployment, serving, and optimization

  (FastAPI, Flask, Django, or Node.js).
• Proficiency with

  databases

  (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with

  cloud ML services

  (SageMaker, Vertex AI, Azure ML) and

  DevOps tools

  (Docker, Kubernetes, CI/CD).
• Knowledge of

  MLOps practices

  : model versioning, monitoring, retraining, experiment tracking.