Senior Machine Learning Engineer

October 16

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IQVIA

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Healthcare Insurance • Biotechnology • Artificial Intelligence

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🤖 Artificial Intelligence

💰 $1G Post-IPO Debt on 2023-05

📋 Description

• Lead the design and development of ML applications across product portfolio with focus on generative AI and LLM solutions. • Provide architecture and shape 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 and UX-driven design. • Guide the transformation of machine learning research domain expertise into viable prototypes. • Enable Machine Learning Engineers to build and train new production-grade algorithms. • Research emerging tools, techniques, and algorithms relevant to the team’s success. • Meet with stakeholders and product managers to understand technical and business variables. • Collaborate with external customers either as a consultant or as a solution ML Engineer. • Prepare and submit conference and journal articles.

🎯 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) • 5-8 years' experience working on creating machine learning algorithms for production purposes

🏖️ Benefits

• Health insurance • Professional development opportunities