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Skills
- Algorithmsunmatched
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Cloud Computingunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Data Setsunmatched
- Deep Learningunmatched
- Forecastingunmatched
- Machine Learningunmatched
- Microsoft Windows Azureunmatched
- Process Improvementunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- Scalable System Developmentunmatched
- Testingunmatched
- Training Data Setsunmatched
- Trend Analysisunmatched
Description
Salary is 175k to 250k + bonus
2 days remote / 3 days onsite
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.
2 days remote / 3 days onsite
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.
Numbers & Facts
| Location | New York, NY |
| Industry | Staffing/Employment Agencies |
| Salary | $175,000–$250,000 Per Year |
| Company Size | 50 to 99 employees |
| Year Founded | 2002 |
| Website | https://phaxis.com/ |
About Company
We stand for PERSEVERANCE, as we refuse to quit when the journey gets tough. Your gold is our mission, and we search day and night to find it.