
Data Analyst Expertise
2 days ago
We are seeking highly skilled and innovative artificial intelligence specialists with strong expertise in building and deploying advanced AI models, particularly working with unstructured data, natural language processing, and generative AI solutions.
The ideal candidates will bring deep experience in designing, developing, and deploying machine learning and AI models on cloud-native ecosystems.
- Design, develop, and deploy ML and AI models on cloud-native platforms.
- Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable AI-powered solutions.
- Apply advanced natural language processing and natural language generation techniques to solve complex business problems.
- Leverage cutting-edge AI tools and frameworks for generative AI use cases.
- Collaborate with cross-functional teams to identify AI opportunities and deliver impactful AI-powered solutions.
- Continuously explore, test, and implement new AI 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 NLP, NLG, LLMs, and generative AI frameworks.
- Experience with unstructured data pipelines and feature engineering.
- Proficiency in Python, PySpark, and ML 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.
- 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 GenAI-based copilots, conversational AI, or knowledge assistants.
- Familiarity with MLOps frameworks for productionizing AI models.
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