Job
Description
As a Senior AI/ML Engineer at Regeneron, you will be an integral part of the team, focusing on hands-on engineering and development work to drive the creation and implementation of artificial intelligence solutions in various research and development projects. Your responsibilities will include: - Designing, developing, and deploying AI models, algorithms, and solutions for analyzing complex biological and pharmaceutical data. - Collaborating with multi-functional teams to identify AI opportunities and contribute to project goals and requirements. - Creating and maintaining machine learning models, developing advanced algorithms for tasks like image analysis and natural language processing. - Enforcing standards in AI model development and deployment, ensuring performance, scalability, reliability, and regulatory compliance. - Staying updated with the latest AI advancements, evaluating their potential applications, and fostering innovation within the organization. - Engaging with external partners to integrate modern AI technologies and tools. - Sharing insights and findings in AI-related discussions with stakeholders. - Optimizing AI models for performance and reliability while considering computational and regulatory constraints. - Participating in scientific and technical discussions and communicating findings effectively to various audiences. - Developing and maintaining comprehensive documentation for AI models and systems. - Communicating sophisticated AI concepts to non-technical stakeholders. Qualifications required for this role include: - Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - At least 2 years of experience in AI/ML engineering, preferably in the biotechnology, pharmaceutical, or healthcare industry. - Hands-on experience in building LLMs/Generative AI solutions from scratch using frameworks such as Lang Chain, LangGraph, Crew. - Proficient programming skills in Python, R, or Java, along with familiarity with software engineering practices. - Practical experience in developing and deploying AI models for production-grade conversational AI systems. - Experience in RAG systems, knowledge base integration with LLMs, prompt engineering, and techniques for improving model performance. - Knowledge of cloud platforms like AWS, Azure, GCP, and their AI services. - Strong problem-solving skills, results-driven approach, and excellent communication skills. - Understanding of regulatory compliance related to AI in the biotech and pharma industries. - Profound knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical methods. - Familiarity with natural language processing techniques and tools, big data technologies like Hadoop, Spark, or NoSQL databases. If you are passionate about AI research and advancements, have a collaborative mindset, and possess the required qualifications, apply now to join Regeneron in crafting the future of healthcare.,
