Data Intelligence Specialist

2 weeks ago

Kozhikode, Kerala, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title

We are seeking innovative and skilled professionals with expertise in Azure AI and ML to excel in our team.

This role requires a highly motivated individual who can design, develop, and deploy machine learning and AI models on the Azure ecosystem. The ideal candidate will have a strong background in NLP, NLG, LLMs, and generative AI frameworks.

  • Key Responsibilities:
  • Design and develop machine learning and AI models on the Azure ecosystem.
  • Work extensively with unstructured data sets (text, images, documents) to extract insights and build scalable solutions.
  • Apply advanced natural language processing and generation 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 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 machine learning libraries.
  • Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is desirable.
  • Strong problem-solving, analytical, and innovation skills.
  • Excellent communication and storytelling ability.
  • 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 Generative AI-based copilots, conversational AI, or knowledge assistants.
  • Familiarity with MLOps frameworks for productionizing AI models.

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