[Hiring] Senior Machine Learning Engineer @IQVIA

Role Description

As one of our Senior Machine Learning Engineers, you will lead the design and development of ML applications across our product portfolio, with a strong focus on generative AI and large language model (LLM) solutions. You will be a hands-on technical leader, providing architecture and shaping coding standards.

• Evangelize best practices for software engineering including design, development, and lifecycle maintenance.
• Partner with multiple software engineering teams to encourage practices like code reusability, shared libraries, UX-driven design, and a culture of continuous improvement.
• Guide the transformation of machine learning research domain expertise in the areas of human data into viable prototypes.
• Enable Machine Learning Engineers to build and train new production-grade algorithms from complex, high-dimensional data.
• Research current and emerging industry tools, techniques, and algorithms, and share findings with colleagues.
• Meet frequently with stakeholders, product managers, engineering managers, data scientists, and other individual contributor engineers to understand technical and business impacting variables.
• Work across the product portfolio to support multiple scrum teams.
• Work with external customers either as a consultant or as a solution Machine Learning Engineer.
• Prepare and submit conference and journal articles.

Qualifications

• Familiarity with traditional ML algorithms (classification, regression) and MLOps processes.
• Experience with building, testing, measuring, and deploying machine learning models in production.
• Experience with LLM engineering, including:
  • Fine-tuning foundation models (GPT-4, Claude, open-source LLMs).
  • Implementing Retrieval-Augmented Generation (RAG) systems.
  • Prompt engineering and LLM evaluation frameworks.
• Expertise in building generative AI applications:
  • Development of multimodal AI solutions (text, image).
  • Working with vector databases and embedding models.
  • Context window optimization and token management.
• Prior engineering project leadership using relevant skills and technologies:
  • Python (Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy, Scipy).
  • SQL, Linux/Mac command-line tools.
• Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.).
• Previous experience of owning, maintaining, and enhancing software data products.
• Attention to clarity of code, ease of development, and correctness of implementations.
• Good knowledge of software development best practices including testing, continuous integration, and DevOps tools.
• Experience with mentoring and training junior team members, especially pair programming.
• STEM-related degree (Bachelor's, Master's or Doctorate).
• 5-8 years' experience working on creating machine learning algorithms for production purposes.

Requirements

• Advanced LLM infrastructure experience:
  • Orchestration frameworks for complex LLM workflows.
  • Model quantization and optimization techniques.
  • Experience implementing model guardrails and safety mechanisms.
• Responsible AI implementation:
  • Hallucination mitigation strategies.
  • Evaluation frameworks for generative model outputs.
  • Bias detection and mitigation techniques.
• Experience with emerging architectural approaches (mixture of experts, agent frameworks).
• Knowledge of model distillation and efficient fine-tuning methods.
• Experience with clinical domain and with regulated data.
• Experience with large language models for healthcare applications.
• Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker.
• Experience working with large, real-world datasets.
• Demonstrated in-depth understanding of product development lifecycle.
• Demonstrated aptitude for and interest in peer mentorship.
• Experience deploying code into production through CI/CD tools.
• Knowledge of biostatistics/life sciences/healthcare technology.
• Knowledge of UX principles.
• Prior management training preferred but not required.

Benefits

• The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00.
• The actual base pay offered may vary based on job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time).
• Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.