Senior Machine Learning Engineer, Analytics Center of Excellence

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Oversee the design and implementation of machine learning applications within IQVIA's product line, with an emphasis on generative AI and large language model (LLM) solutions.

• Provide practical technical leadership, offering guidance on architecture and establishing coding standards.

• Advocate for software engineering best practices, emphasizing code reusability, shared libraries, user experience-focused design, and ongoing enhancement.

• Convert machine learning research insights on human data into functional prototypes.

• Assist teams in developing and training production-quality algorithms capable of handling complex, high-dimensional datasets.

• Investigate current and emerging industry tools, techniques, and algorithms, sharing insights with colleagues.

• Collaborate with stakeholders, product managers, engineering managers, data scientists, and engineers to translate technical and business considerations into strategic and tactical decisions.

• Provide support to multiple scrum teams across the entire product portfolio.

• Act as a consultant or solution Machine Learning Engineer for external clients.

• Prepare and submit articles for conferences and journals.

• Mentor and guide junior team members.

⛳️ Requirements

• Knowledge of traditional machine learning algorithms (such as classification and regression) and MLOps practices.

• Proven experience in building, testing, measuring, and deploying machine learning models in a production environment.

• Background in LLM engineering, including the fine-tuning of foundation models, retrieval-augmented generation (RAG) systems, prompt engineering, and evaluation frameworks for LLMs.

• Expertise in developing generative AI applications, including multimodal AI, vector databases, embedding models, context window optimization, and token management.

• Previous experience leading engineering projects.

• Proficient in Python, Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy, and Scipy.

• Skilled in SQL and command-line tools for Linux/Mac.

• Familiar with the agile software development lifecycle, including SCRUM and Kanban methodologies.

• Experience in owning, maintaining, and enhancing software data products.

• Strong knowledge of software development best practices, as well as testing, continuous integration, and DevOps tools.

• Experience in mentoring and training junior team members, particularly through pair programming.

• A degree in a STEM-related field (Bachelor's, Master's, or Doctorate).

• 5–8 years of experience in creating machine learning algorithms for production use.

• Preferred qualifications include advanced knowledge of LLM infrastructure, responsible AI, emerging architectures, model distillation, clinical/regulated data, healthcare LLMs, cloud systems, Docker, handling large datasets, understanding the product development lifecycle, CI/CD, biostatistics/life sciences/healthcare technology, familiarity with UX principles, and management training.

🏝️ Benefits

• Health and welfare benefits.

• Additional benefits may be provided.

• Incentive plans, bonuses, and/or other compensation options may also be available.