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Chief Analytics Engineer
2 weeks ago
We are seeking highly skilled and innovative Data Scientists to play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
Key Responsibilities:- Design, develop, and deploy ML and AI models on cloud ecosystems.
- Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
- Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
- Leverage generative AI services for 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 machine learning, AI services, and Databricks.
- Strong background in NLP, NLG, LLMs, and generative AI frameworks.
- Experience with unstructured data pipelines and feature engineering.
- Proficiency in programming languages and ML libraries.
- Practical experience with AI services is highly desirable.
- Strong problem-solving, analytical, and innovation skills.
- Excellent communication and storytelling ability to present AI solutions.
- Bachelor 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 conversational AI or knowledge assistants.
- Familiarity with MLOps frameworks for productionizing AI models.