Senior Data Scientist / AI Engineer (ML, LLM, Forecasting, Optimization)

Senior Data Scientist focused on building and deploying production-ready machine learning and AI solutions, with expertise in ML, forecasting and decision intelligence.

• Data Engineer
• Data Mining
• Data Science
• Data Warehousing
• Machine Learning
• Microsoft Azure
• Operations Research Analyst
• Python
• Software Architecture
• SQL

Core Focus Areas
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Machine Learning and Applied AI
Data Science and Analytics
ML Engineering and Deployment
Decision Intelligence and Optimization
Data Engineering for ML Workloads

Machine Learning and AI
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scikit-learn, PyTorch
Supervised and unsupervised learning (classification, regression, clustering)
Time series forecasting and scenario modeling
NLP and LLM integration: OpenAI, Azure OpenAI, HuggingFace
Retrieval-augmented generation (embeddings, vector databases, retrieval pipelines)

Data Science and Analytics
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Python: Pandas, NumPy, SciPy
Feature engineering, model evaluation, experimentation
Data analysis and visualization: Jupyter, Plotly, Streamlit

ML and Data Engineering
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API development: FastAPI, Flask
Relational databases and SQL: PostgreSQL, MS SQL Server
Data pipelines and ETL/ELT for analytical and ML workloads

Decision Intelligence and Optimization
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Mathematical optimization: MIP, CP (Gurobi, OR-Tools, CP-SAT)
Simulation-based optimization
Reinforcement learning for decision and control problems

Cloud and Deployment
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Microsoft Azure, AWS
Docker, Kubernetes
CI/CD and version control: Git

Reporting and Interfaces
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Analytical prototypes and lightweight dashboards (PowerBI, Juypter, Streamlit, Excel)

Delivery and Collaboration
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Requirements analysis and technical solution design
Agile delivery (Scrum, Kanban)
Documentation and production rollouts