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Guidehouse
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Lead - Data Scientist & AI

Lead - Data Scientist & AI

Guidehouse

4 - 8 years

0 Lacs

thiruvananthapuram kerala

Posted:1 day ago| Platform: Shine logo

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Skills Required

python regulatory compliance communication skills aiml frameworks tensorflow pytorch hugging face transformers voice ai applications healthcare data standards problemsolving analytical abilities collaboration skills cloud computing platforms containerization technologies mlops practices

Work Mode

On-site

Job Type

Full Time

Job Description

The primary responsibility of the Data Science & Analysis role in India is to design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare and other relevant datasets, with a key focus on accuracy and context relevance. Collaboration with cross-functional teams (Business, engineering, IT) is essential to seamlessly integrate AI/ML technologies into solution offerings. Deployment, monitoring, and management of AI models in a production environment are crucial to ensure high availability, scalability, and performance. Continuous research and evaluation of the latest advancements in AI/ML and industry trends are required to drive innovation. Comprehensive documentation for AI models, covering development, training, fine-tuning, and deployment procedures, needs to be developed and maintained. Providing technical guidance and mentorship to junior AI engineers and team members is also a part of the role. Collaboration with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development is critical. Selecting and curating appropriate datasets for fine-tuning foundational models to address specific use cases is an essential aspect of the job. Ensuring that AI solutions can seamlessly integrate with existing systems and applications is also part of the responsibilities. For this role, a Bachelor's or Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is required. The ideal candidate should have 4 to 6 years of hands-on experience in AI/ML, with a proven track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc., is necessary. Practical experience in deploying and managing AI models in production environments, including expertise in serving and inference frameworks like Triton, TensorRT, VLLM, TGI, etc., is expected. 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 are required to tackle complex challenges and evaluate multiple factors. Exceptional communication and collaboration skills are necessary for effective teamwork in a dynamic environment. The ideal candidate should have worked on a minimum of 2 AI/LLM projects from start to finish, demonstrating proven business value. 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 would also be advantageous. Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package that reflects the commitment to creating a diverse and supportive workplace. Guidehouse is an Equal Opportunity Employer that considers qualified applicants with criminal histories in accordance with applicable laws and regulations, including the Fair Chance Ordinance of Los Angeles and San Francisco. If accommodation is required to apply for a position or for information about employment opportunities, applicants can contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information provided will be kept confidential and used only as needed to provide necessary reasonable accommodation. All recruitment communication from Guidehouse will be sent from Guidehouse email domains, including @guidehouse.com or guidehouse@myworkday.com. Any correspondence received from other domains should be considered unauthorized and will not be honored by Guidehouse. Guidehouse does not 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 recruitment events. Banking information should never be provided to a third party claiming to need it for the hiring process. If any demand for money related to a job opportunity with Guidehouse arises, it should be reported to Guidehouse's Ethics Hotline. For verification of received correspondence, applicants can contact recruiting@guidehouse.com. Guidehouse is not liable for any losses incurred from an applicant's dealings with unauthorized third parties.,

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Lead - Data Scientist & AI