Description

You will build and deploy optimization algorithms using data science methods.

Responsibilities

• Develop and implement advanced machine learning models and statistical analyses.
• Engineer prompts and manage LLM workflows using techniques like RAG and chain-of-thought.
• Integrate data science solutions into core business systems using cloud platforms.
• Optimize model performance, including GPU utilization and fine-tuning processes.
• Communicate complex technical findings clearly to both technical and non-technical stakeholders.

Required Skills

• Minimum 6+ years of experience building optimization algorithms.
• Advanced proficiency in Python, R, SQL, and Java.
• Deep understanding of LLM architecture, including transformers and attention mechanisms.
• Expertise in prompt engineering, fine-tuning, and model evaluation methodologies.
• Experience with Vector Databases and managing embeddings.
• Demonstrated ability to apply advanced statistical analysis and ML techniques.
• Experience working with data science cloud platforms.
• Proficiency in data visualization tools for insight communication.

Preferred Skills

• Experience with geospatial analytics or route optimization concepts.
• Familiarity with Agile methodologies (Scrum, Kanban, or SAFe).

Key Skills

Education

Any Graduate