Senior Machine Learning Engineer

Senior Machine Learning Engineer

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. You will evangelize best practices for software engineering including design, development, and lifecycle maintenance, and will partner with multiple software engineering teams to encourage practices like code reusability, shared libraries, UX-driven design, and a culture of continuous improvement.

You will help guide the transformation of machine learning research domain expertise in the areas of human data into viable prototypes. Your technical leadership will enable our Machine Learning Engineers to build and train new production-grade algorithms that can learn from complex, high-dimensional data to uncover patterns from which machine learning models and applications can be developed. Your ability to research current and emerging industry tools, techniques, and algorithms, and share these findings with colleagues will prove invaluable to your team's success.

You will meet frequently with stakeholders, product managers, engineering managers, data scientists, and other individual contributor engineers to understand a wide array of technical and business impacting variables and distill these into strategic and tactical choices that our Machine Learning Engineering teams will use to develop and improve software products for our customers.

Along with your primary directive of working across the product portfolio to support multiple scrum teams, you will also be expected to work with external customers either as a consultant or as a solution Machine Learning Engineer. There will also be opportunities to prepare and submit conference and journal articles.

Essential Requirements:

· 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)

· years' experience working on creating machine learning algorithms for production purposes

Preferred 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

About Us:

Our mission is to positively impact patient lives through the anticipation and delivery of solutions that increase clinical trial success, shorten drug development timelines and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients.

Why join?

Those who join us become part of a recognised global leader still willing to challenge the status quo to improve patient care. In RWS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.

You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more