Senior Consultant II, Applied Machine Learning, Data Engineering
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Job Description
Applied Machine Learning Engineer Senior Consultant II developing AI-driven data pipelines and solutions. Support data automation initiatives to enhance operational efficiency and data quality.
Responsibilities:
- Design and build AI-powered data pipelines to process and transform structured and unstructured data (PDF, Excel, CSV, etc.)
- Develop and optimize LLM-based solutions (prompt engineering, mapping, extraction, and transformation)
- Translate complex data and technical outputs into actionable insights for business stakeholders
- Partner with cross-functional teams (product, engineering, business SMEs) to define and deliver solutions
- Validate and improve solution accuracy through testing, iteration, and stakeholder feedback
- Support integration of ML/AI solutions into enterprise systems and workflows (APIs, databases, cloud platforms)
- Document solutions to ensure scalability, maintainability, and long-term adoption
- Analyze and process carrier and CMS datasets
- Build AI/ML mapping logic using LLMs and prompts
- Develop data pipelines (Python/C# data processing logic, SQL, APIs, Azure)
Requirements:
- 3+ years of related experience
- Strong proficiency in Python and SQL for data analysis and engineering
- Experience working with Generative AI / LLMs (prompt engineering, APIs, or similar)
- Hands-on experience with data transformation, file parsing, and pipeline development
- Knowledge of DevOps practices (CI/CD pipelines, version control, cloud deployment)
- Familiarity with cloud platforms (preferably Azure)
- Ability to communicate effectively with both technical and non-technical stakeholders
- Proven ability to work in ambiguous, fast-evolving environments
Benefits:
- Comprehensive technology setup, including laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement to offset internet costs
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