AI/ML Engineer

Summary

Join Precision Medicine Group as an AI/ML Engineer and be at the forefront of designing, developing, and deploying innovative AI and ML solutions. You will work with cutting-edge technologies like Generative AI and Large Language Models, optimizing and scaling models to meet business objectives. Collaboration with cross-functional teams is key, as you integrate AI-powered solutions into products and services. This role requires expertise in machine learning, deep learning, and natural language processing, along with experience in cloud computing and deployment. You will be responsible for developing and maintaining MLOps pipelines and troubleshooting AI/ML engineering challenges. The ideal candidate possesses strong problem-solving, communication, and leadership skills.

Requirements

• Hold a Bachelor's or Master's degree in a quantitative field such as Computer Science or Data Science or related disciplines
• Have minimum of 3+ years’ experience in data science/ML role, with a track record of delivering impactful solutions in a production environment
• Be proficient in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows
• Possess a deep understanding and hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing
• Have experience in working with state-of-the-art Generative AI models, including model fine-tuning and evaluation techniques
• Possess data management knowledge, including data pre-processing, augmentation, and generation of synthetic data
• Have cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure

Responsibilities

• Develop, optimize, and deploy machine learning and deep learning models, including LLMs and Generative AI models
• Design and implement scalable, production-ready AI solutions that integrate into existing systems
• Fine-tune and evaluate models on large-scale datasets to improve accuracy, efficiency, and robustness
• Collaborate with software engineers, data scientists, and product teams to align AI models with business needs
• Work with healthcare and claims data to build high-performance AI systems
• Develop and maintain MLOps pipelines for training, deploying, and monitoring AI models
• Troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production
• Stay up-to-date with advancements in Generative AI, LLMs, and deep learning to continuously improve AI solutions
• Document AI/ML workflows, methodologies, and best practices for internal knowledge sharing

Preferred Qualifications

• Demonstrate problem-solving skills for thinking outside the box to design and implement novel AI solutions
• Possess collaboration and communication skills for articulating technical details and project needs
• Exhibit continuous learning to keep up with the latest research, tools, and techniques in the rapidly evolving generative AI landscape
• Demonstrate patience and persistence
• Possess excellent interpersonal and communication skills, with strong written and verbal presentation skills
• Have a proven ability to take ownership and lead multiple engagements with minimal oversight
• Be able to synthesize complex concepts into understandable and actionable solutions
• Demonstrate expertise in Precision Products and Services with the ability to recommend existing solutions and/or propose new products and services based on client need
• Have the ability to drive executive-level conversations regarding business value
• Demonstrate cross-functional sales and business development success
• Be a passionate and confident communicator with the ability to energize stakeholder decision-making