
Cloud-AI Engineer
1 week ago
Job Title: Senior Data Scientist
Key Responsibilities:
- Design, develop and deploy machine learning models on the Azure ecosystem.
- Extract insights from unstructured data sets to build scalable solutions.
- Apply advanced NLP and NLG techniques to solve business problems.
- Leverage Copilot Studio, AI Foundry, Genie AI in Databricks for generative AI use cases.
- Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
- Explore, test and implement new algorithms, tools and frameworks to improve model accuracy and performance.
- Communicate findings effectively to technical and non-technical stakeholders.
- Take ownership of end-to-end project delivery, from data exploration to production deployment.
Required Skills & Qualifications:
- Hands-on experience in Azure Machine Learning, Databricks and AI services.
- 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, AI Foundry, Genie AI is desirable.
- Strong problem-solving skills.
- Excellent communication ability.
Preferred Qualifications:
- Experience in building enterprise-grade AI solutions in cloud-native environments.
- Exposure to GenAI-based copilots or conversational AI.
- Familiarity with MLOps frameworks for productionizing AI models.
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