AI/Machine Learning Engineer

AI/Machine Learning Engineer (3-5 years)

Key Responsibities

• Design, develop, and deploy

  machine learning / deep learning models

  for NLP, computer vision, or predictive analytics use cases.
• Build and maintain

  end-to-end ML pipelines

  data preprocessing, feature engineering, model training, evaluation, and deployment.
• Implement

  RAG, LangChain, and vector-based retrieval

  workflows using open-source or cloud LLMs.
• Work with

  data scientists and backend teams

  to productionize models (APIs, Docker, CI/CD).
• Optimize model performance using

  TensorRT, ONNX, quantization, and GPU acceleration

  .
• Maintain

  experiment tracking, version control, and documentation

  (MLflow, DVC, Git).
• Collaborate in

  Agile sprints

  , contribute to code reviews, and ensure reproducibility and scalability.

Technical Skills :

AreaTools Frameworks

Languages

ML / DL

Data Engineering

NLP

Computer Vision

MLOps

Cloud / GPU

Databases

Versioning & Collaboration

• Strong analytical and problem-solving mindset.
• Eagerness to learn new AI frameworks and experiment rapidly.
• Clear communication, documentation, and team collaboration abilities.
• Ownership mindset ability to take POC to pilot independently.

Preferred Background

• Bachelors or Masters in Computer Science, Data Science, or related field.
• 35 years of experience in AI/ML or applied data science.
• Exposure to

  LLM applications, RAG, or multimodal models

  is a plus.
• Contributions to

  open-source AI projects or Kaggle competitions

  are value

Preferred candidate profile