Data Science Leader

3 days ago

Meerut, Uttar Pradesh, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Unlock Business Value with AI

We are seeking highly skilled and innovative professionals to leverage advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions.

Job Description:

As an integral part of our organization, you will be responsible for designing, developing, and deploying ML and AI models on the Azure ecosystem. You will work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.

Key Responsibilities:
  • Design and develop ML and AI models leveraging Azure-native services.
  • Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
  • Work collaboratively 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.
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.
  • Bachelor's or Master's 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.
Benefits:

This role offers a unique opportunity to grow your skills and expertise in AI and ML, while contributing to the development of cutting-edge technology that drives business value.

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