Job Family:
Data Science & Analysis (India)
Travel Required:
Up to 10%
Clearance Required:
None
What You Will Do:
- Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance.
- Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings.
- Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance.
- Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation.
- Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures.
- Provide technical guidance and mentorship to junior AI engineers and team members.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development.
- Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases.
- Ensure AI solutions can seamlessly integrate with existing systems and applications.
What You Will Need:
- Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field.
- 4 to 6 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models.
- Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
- Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.).
- Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred.
- Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors.
- Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment.
- Worked on a minimum of 2 AI/LLM projects from the beginning to the end with proven value for business.
What Would Be Nice To Have:
- Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus.
- Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.