Machine Learning Engineer Lead
hace 4 días
About Us:
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, improving patient outcomes and population health worldwide.
Role Overview:
This is a unique opportunity to join our Applied Data Science Center as a Machine Learning Engineer Lead. You will be working on cutting-edge Generative AI projects, collaborating with internal teams and pharmaceutical/life sciences institutions to design and implement innovative solutions.
Key Responsibilities:
- Lead cross-functional teams to develop and deploy Generative AI solutions.
- Design and implement advanced Generative AI models to solve complex problems.
- Work with a multidisciplinary team to build and deploy scalable AI solutions.
- Stay up-to-date with the latest advancements in Generative AI and machine learning, applying them to practical scenarios.
- Provide technical leadership and mentorship to team members.
- Presentation and explanation of AI solutions to non-technical stakeholders.
- Application of consulting principles to deliver tailored AI solutions that meet specific client needs.
Requirements:
- Advanced degree (Ph.D. or Master's) in Computer Science or a related field.
- Proven experience in designing and implementing Generative AI models and algorithms.
- Strong programming skills in Python, with hands-on experience in frameworks such as PyTorch, LangChain, GraphRAG, AutoGen, and various vector/graph databases.
- Hands-on experience with cloud platforms and deploying machine learning models at scale.
- Deep understanding of standard machine learning techniques and cutting-edge Generative AI technologies.
- Excellent problem-solving skills with the ability to think creatively and critically.
- Strong communication and collaboration skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Experience in customer-facing roles with strong consulting skills to understand and solve client needs.
- Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
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