Salary is 175k to 200k + bonus
5 days in-office
Must Have Qualifications:
- Master's degree is required.
- 5+ years of experience.
- Must have Decision Tree, XG Boost.
- Tree Models, RAG and LLM.
- Strong experience in AI/ML algorithms, such as classification, forecasting, and uplift modeling, with expertise in applying machine learning and deep learning techniques to real-world problems.
- Proficient in Python or R for advanced analytics.
- Analyze, clean, and integrate large, diverse data sets, and transforming them into actionable insights.
- Translate complex AI/ML findings into clear, impactful business recommendations for cross-functional teams. - Cloud (Azure preferred and open to AWS or other Cloud providers).
Day-to-Day Responsibilities:
- Design, develop, and deploy scalable AI/ML solutions that improve business outcomes.
- Analyze large datasets to identify trends and opportunities for AI/ML-driven optimizations.
- Communicate complex AI/ML findings to business leaders, providing actionable insights and recommendations for strategic decision-making.
- Continuously improve AI/ML models by testing, evaluating, and fine-tuning algorithms to ensure optimal performance and alignment with business goals.
- Understanding of Agentic AI / GenAI / AI Agents.