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Solutions Architect - AI & Data Science

Solutions Architect - AI & Data Science

ConfidentialChennai, India
6 days ago
Job description

Job Family

Data Science & Analysis (India)

Travel Required

None

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.
  • Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA).
  • 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.
  • Implement robust security protocols to protect sensitive data from breaches and unauthorized access.
  • 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.
  • 10+ year industry experience with minimum of 5 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.
  • 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.
  • Delivered a minimum of 3 to 5 AI / LLM medium to large scale projects of significant value.
  • What Would Be Nice To Have

  • Experience with federated learning and privacy-preserving AI techniques.
  • Familiarity with synthetic data generation for healthcare model training.
  • Knowledge of healthcare is added advantage.
  • Experience integrating AI with existing solutions.
  • Experience working in regulated environments and with audit-ready documentation practices.
  • Ability to evaluate and select GenAI models based on performance, cost, and compliance factors.
  • 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.

    About Guidehouse

    Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

    Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

    If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [HIDDEN TEXT]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

    All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [HIDDEN TEXT]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

    If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [HIDDEN TEXT]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

    Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

    Skills Required

    triton , Tensorflow, Pytorch, MLops, Docker, Azure, Kubernetes, Python, Aws

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