Data Scientist

Data Scientists

Key Responsibilities

• Design, develop, and deploy

  ML and AI models

  on the Azure ecosystem.
• Work extensively with

  unstructured data sets

  (text, images, documents, etc.) to extract insights and build scalable solutions.
• Apply advanced

  Natural Language Processing (NLP)

  and

  Natural Language Generation (NLG)

  techniques to solve business problems.
• Leverage

  Copilot Studio, AI Foundry, Genie AI in Databricks

  , and other Azure-native services for generative AI use cases.
• Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
• Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment.

Required Skills & Qualifications

• Proven hands-on experience in

  Azure Machine Learning, Azure AI services, and Databricks

  .
• Strong background in

  NLP, NLG, LLMs, and generative AI frameworks

  .
• Experience with

  unstructured data pipelines

  and feature engineering.
• Proficiency in

  Python, PySpark, and ML libraries

  (TensorFlow, PyTorch, Hugging Face, etc.).
• Practical experience with

  Copilot Studio, AI Foundry, Genie AI in Databricks

  is highly desirable.
• Strong problem-solving, analytical, and innovation skills.
• Excellent communication and storytelling ability to present AI solutions to stakeholders.
• Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.

Preferred Qualifications

• Experience in building and deploying

  enterprise-grade AI solutions

  in cloud-native environments.
• Prior exposure to

  GenAI-based copilots, conversational AI, or knowledge assistants

  .
• Familiarity with

  MLOps frameworks

  for productionizing AI models.