What are the responsibilities and job description for the Gen AI Architect (AI/ML architect) with Life Science space position at Pantar Solutions inc?
we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your MOST RECENT UPDATED RESUME :
Gen AI Architect (AI / ML architect) with Life Science space Exp.
Location : Chicago, IL - Hybrid role
Contract / FTE
Long Term
Need strong
Gen AI Architect (AI / ML architect) with Life Science space, NLP, Python, TensorFlow / PyTorch, LLM, AWS / Azure cloud Exp.
Consultant LinkedIn profile must have been created before 2018
Need 10 yrs of IT Exp. Profiles
Strong AI / ML architect with expertise & experience in GenAI. Have implemented multiple AI / ML systems, Solutions in Life Science space.
Responsibilities :
Design and lead the implementation of AI-driven solutions aimed at optimizing operational processes and workflows.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Utilize pre-trained large language models (LLMs) and other Generative AItechniques to develop personalized responses tailored to operators' needs.
Architect and oversee the development of knowledge bases and databases to store and retrieve relevant information efficiently.
Implement unsupervised techniques for data categorization and classification to enhance recommendation accuracy.
Explore and integrate state-of-the-art AI technologies and methodologies to continuously improve system performance.
Ensure scalability, reliability, and security of AI solutions deployed in production environments.
Stay updated on emerging trends and advancements in AI, machine learning, and related fields to drive innovation within the organization.
Requirements :
Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degree preferred.
Proven experience in designing and developing AI-driven solutions, with a focus on Generative AI and Natural Language Processing (NLP).
Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of large language models (LLMs) and their applications in text generation and understanding.
Experience with cloud platforms (e.g., AWS, Azure) and related services for deploying and managing AI solutions.
