Senior / Lead Data Scientist

• Design, develop, and deploy AI/ML models for

  Computer Vision

  and

  GenAI use cases

• Build, fine-tune, and evaluate

  deep learning architectures

  (CNNs, Transformers, Diffusion models, etc)
• Collaborate with product and engineering teams to integrate models into scalable pipelines and applications
• Manage the complete ML lifecycle using

  MLOps

  practices (versioning, CI/CD, monitoring, retraining)
• Develop reusable Python modules and maintain high-quality, production-grade ML code
• Work with

  Azure Machine Learning Services

  for training, inference, and model management
• Analyze large-scale datasets, extract insights, and prepare them for model training and validation
• Document technical designs, experiments, and decision-making processes

Required Skills & Experience:

• 4 5 years of hands-on experience in

  Machine Learning and Deep Learning

• Strong experience in

  Computer Vision

  tasks such as object detection, image segmentation, OCR, etc
• Practical knowledge and implementation experience in

  Generative AI

  (LLMs, diffusion models, embeddings)
• Solid programming skills in

  Python

  , with experience using frameworks like

  PyTorch

  ,

  TensorFlow

  ,

  OpenCV

  ,

  Transformers (HuggingFace)

  , etc
• Good understanding of

  MLOps concepts

  , model deployment, and lifecycle management
• Experience with

  cloud platforms

  , preferably

  Azure ML

  , for scalable model training and deployment
• Familiarity with data labeling tools, synthetic data generation, and model interpretability
• Strong problem-solving, debugging, and communication skills

Good to Have:

• Experience with

  NLP

  ,

  multimodal learning

  , or

  3D computer vision

• Familiarity with containerization tools (Docker, Kubernetes)
• Experience in building

  end-to-end ML pipelines

  using MLflow, DVC, or similar tools
• Exposure to

  CI/CD pipelines

  for ML projects and working in agile development environments

Education:

• bachelors or masters degree in

  Computer Science, Electrical Engineering, Data Science

  , or a related field