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10 hours ago
We are seeking highly skilled and innovative data science professionals with strong expertise in Azure AI and machine learning to drive business value and innovation.
Key Responsibilities- Design, develop, and deploy machine learning 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 and natural language generation techniques to solve business problems.
- Leverage 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.
- Proven hands-on experience in Azure Machine Learning 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.
- Practical experience with Copilot Studio and Genie AI in Databricks is highly desirable.
- Strong problem-solving, analytical, and innovation skills.
- Excellent communication and storytelling ability to present AI solutions.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
- Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
- Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
The role requires a strong foundation in machine learning, AI, and data science. If you have a passion for developing and deploying AI-driven solutions, we encourage you to apply.
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