
Azure Data Engineer Role
5 days ago
About the Role:
We are seeking a highly skilled data scientist to join our team. As a data scientist, you will be responsible for leading and contributing to applied research in Generative AI, including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering.
You will collaborate with product and engineering teams to translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil and gas, and healthcare.
The ideal candidate will have hands-on experience in AIML RD, including minimum 2-3 years in GenAI. Strong experience with LLMs fine-tuning model evaluation vector databases, and inference pipelines is also required.
Key Responsibilities:
- Develop and deploy AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikitlearn, etc.
- Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.
Requirements:
- 7-12 years of hands-on experience in AIML RD.
- Strong programming skills in Python.
- Experience deploying models in Edge Cloud MLOps pipelines, and working with enterprise data platforms.
Benefits:
- Opportunity to work on cutting-edge projects in Generative AI.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Preferred Skills:
- Knowledge of Agentic AI, Digital Twins, or Simulation based learning.
- Experience in industrial AI domains, eg smart factory quality inspection, predictive maintenance.
Skills:
- Mandatory Skills : Apache Airflow, Apache Spark, Python, Azure Cosmos DB, Azure Data Factory, Azure IOT, Azure Synapse Analytics, AZURE DATA LAKE, Databricks, AR_VR_MR.
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