AI Data Scientist
AI Data Scientist
Posted on :
28-09-2025
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1 Vacancy
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Job Description
APO BPR team is seeking a dedicated individual who is passionate about designing implementing and optimizing analytical solutions that deliver tangible measurable impact within APO. As an AI Data Scientist you will leverage advanced machine learning deep learning and statistical modeling techniques to analyze large and complex datasets extract valuable insights and build robust models that drive critical business decisions. You will collaborate closely with cross-functional teams to transform these data-driven insights into actionable AI applications delivering measurable value across the organization.
- - 3 years of experience in data science machine learning data analysis or data modeling with a strong focus on model evaluation accuracy and performance metrics.
- - Familiarity with vector similarity search retrieval-augmented generation(RAG) architectures and LLM prompt evaluation techniques with experience in integrating these methods into real-world applications
- - Advanced programming skills in data manipulation data processing and building scalable data pipelines ( SQL & Python preferred). Experience with distributed computing is a plus
- - Experience crafting conducting analyzing and interpreting experiments and investigations.
- - Comfort with ambiguity with the ability to structure complex analysis and drive insights through data exploration and strategy research.
- - Experience working with multi-modal foundation models (e.g. GPT-4 Gemini 2.5 Claude 3/4 LLaVA Flamingo) in practical application such as model training evaluation and optimization.
- - Hands-on experience with LLMs and GenAI frameworks (e.g. LangChain LlamaIndex) for developing and optimizing AI-driven applications
- - Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
- - Proven experience managing complex projects and collaborating across cross-functional teams
- - Detail-oriented to keep track of and understand the workings of sophisticated algorithms.
- - Strong experience articulating and translating business questions into data solutions.
- - Curious self-motivated and able to drive improvements to model evaluation pipelines and annotation programs.
- - Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- - Outstanding communication skills both written and verbal with experience presenting to leadership.
Employment Type
Full-Time
Key Skills
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