Your Role
As a Senior AI Engineer/Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational large language models (LLMs) with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations.
Key Responsibilities
● Design, train, and fine-tune state-of-the-art foundational LLMs using healthcare-specific datasets to ensure high accuracy and relevance in clinical applications.
● Collaborate with cross-functional teams to integrate AI/ML technologies into product offerings.
● Deploy, monitor, and manage AI models in a production environment, ensuring high availability and performance.
● Stay abreast of the latest AI/ML advancements and healthcare industry trends to drive innovation within the company.
● Ensure that all AI solutions comply with healthcare standards and regulatory requirements, including HIPAA, GDPR, and other relevant frameworks.
● Develop and maintain documentation for AI models, including model development, training procedures, fine-tuning strategies, and deployment plans.
● Provide technical leadership and mentorship to junior AI engineers and team members.
● Work closely with stakeholders to understand clinical needs and translate them into technical requirements for model fine-tuning.
● Evaluate and select appropriate datasets for fine-tuning LLMs to meet specific healthcare use cases.
What You Need
● Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
● Minimum of 5 years of experience in AI/ML, with a proven track record of training and deploying LLMs and machine learning models.
● Strong programming skills in Python, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
● Experience with deploying and managing AI models in production environments, including knowledge of MLOps practices.
● Prior experience in healthcare AI applications, with a solid understanding of healthcare data standards (e.g., FHIR, HL7) and regulatory compliance.
● Excellent problem-solving and analytical skills, with the ability to work on complex problems where analysis of situations requires an in-depth evaluation of various factors.
● Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
● Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable.
What We Offer
- Industry-Focused Certifications: Meet leading healthcare experts, discuss innovative strategies, and become a subject matter expert with our comprehensive set of certifications.
- Rewards and Recognition: Feeling like you’re outperforming on your projects? Get recognition for your dedicated efforts and demonstrated work ethic.
- Health Insurance and Mental Wellbeing: We offer health benefits and insurance to you and your family for hospital-related expenses pertaining to any illness, disease, or injury. We also have Employee Assistance Programs (EAPs) to give you 24X7 access to certified therapists and psychologists.
- Open Floor Plan: Cubicles are a thing of the past and to modernize our office space, we have open floor sittings at every office location. Share ideas with your peers and bond better in an open floor office where there are no barriers and you are inspired to be creative.
- Paternity and Maternity Leave: Enjoy the industry’s best parental leave policy to welcome your bundle of joy and enjoy quality time with them.
- Paid Time Off: Maintain a healthy work–life balance and take time off from work to focus on your well-being and big life moments.
