
Advanced AI Strategist
1 week ago
We are seeking highly skilled and innovative data scientists with strong expertise in Azure AI and machine learning to drive business value and innovation.
- The ideal candidate will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, natural language processing, and generative AI solutions.
- You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business opportunities and solve complex problems.
Key Responsibilities:
- Design, develop, and deploy machine learning 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 and natural language generation techniques to solve business challenges.
- 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 natural language processing, natural language generation, large language models, and generative AI frameworks.
- Experience with unstructured data pipelines and feature engineering.
- Proficiency in Python, PySpark, and machine learning 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.
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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