This role offers the opportunity to design, develop, and deploy advanced data science and machine learning solutions, including working with large language models (LLMs) on cloud-based platforms.
Requirements
- Design, develop, and deploy end-to-end machine learning and data science solutions in a cloud environment (Databricks on Azure).
- Prepare and process large-scale datasets using PySpark for cleaning, transformation, and feature engineering.
- Apply fine-tuning, optimization, and deployment of large language models for domain-specific applications.
- Conduct exploratory data analysis, statistical modeling, and hypothesis testing to generate actionable insights.
- Collaborate with data engineers, cloud architects, and business stakeholders to ensure seamless integration of ML models into production workflows.
- Document methodologies, experiments, and best practices to facilitate knowledge sharing and reproducibility.
- Stay updated on advancements in AI, ML, LLMs, and cloud technologies to implement innovative solutions.
Benefits
- Competitive salary based on experience and location.
- Comprehensive health coverage (medical, dental, vision).
- Paid time off, holidays, and flexible work arrangements.
- Professional development and training opportunities.
- Access to cutting-edge AI/ML tools and cloud technologies.
- Supportive and collaborative work environment with career growth opportunities.