AI Data Scientist
100 Northern Ave Boston, MA 02210 US
Job Description
Our law firm client is looking for an AI Data Scientist Engineer
Key Responsibilities:
AI Model Development and Deployment:
- Lead the design and deployment of generative AI applications to predict and manage supply chain disruptions, leveraging OpenAI's large language models.
- Develop robust MLOps infrastructure using tools like FastAPI, Kubernetes, and AWS to ensure scalability, reliability, and cost efficiency of AI solutions.
Financial Forecasting and Dashboard Enhancement:
- Enhance financial department dashboards with generative AI chatbots to automate data retrieval and analysis, reducing executive inquiries by 90% and improving decision-making processes.
MLOps and CI/CD Implementation:
- Architect and implement CI/CD pipelines for AI model development and deployment on platforms like Databricks and Kubernetes.
- Spearhead the integration of MLOps best practices to streamline development, staging, and production environments, reducing deployment times and error rates by 50%.
Time Series Forecasting and Optimization:
- Automate time series forecasting for critical healthcare metrics using ensemble methods such as Autoarima, Prophet, XGBoost, and LSTM models.
- Deploy solutions on scalable frameworks like Spark to optimize forecasting accuracy and operational efficiency across multiple hospital locations.
Qualifications:
- Master's degree or higher in Computer Science, Data Science, Statistics, or related field.
- 5+ years of hands-on experience in AI/ML engineering, with a proven track record of deploying production-grade AI solutions.
- Expertise in implementing MLOps frameworks and CI/CD pipelines in cloud environments (AWS, Azure, etc.).
- Proficiency in programming languages such as Python, R, and experience with AI libraries (TensorFlow, PyTorch, Scikit-Learn).
- Strong background in statistical analysis, time series forecasting, and machine learning techniques.
Preferred Skills:
- Knowledge of natural language processing (NLP) and generative AI models.
- Ability to effectively communicate complex technical concepts to non-technical stakeholders.
The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.