Gen AI Architect(Life Science space) @ Chicago, IL(Hybird- Onsite)

We are looking for a Gen AI Architect for one of our clients. If interested please share your Updated Resume, Rate, and Phone number ASAP.
Role: Gen AI Architect (Life Science space)
Location: Chicago, IL(Hybrid)
Duration: Contract
Strong AI/ML architect with expertise & experience in GenAI. Have implemented multiple AI/ML systems, Solutions in Life Science space.
Responsibilities:

1. Design and lead the implementation of AI-driven solutions aimed at optimizing operational processes and workflows.
2. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
3. Utilize pre-trained large language models (LLMs) and other Generative AI techniques to develop personalized responses tailored to operators' needs.
4. Architect and oversee the development of knowledge bases and databases to store and retrieve relevant information efficiently.
5. Implement unsupervised techniques for data categorization and classification to enhance recommendation accuracy.
6. Explore and integrate state-of-the-art AI technologies and methodologies to continuously improve system performance.
7. Ensure scalability, reliability, and security of AI solutions deployed in production environments.
8. Stay updated on emerging trends and advancements in AI, machine learning, and related fields to drive innovation within the organization.

Requirements:

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degree preferred.
2. Proven experience in designing and developing AI-driven solutions, with a focus on Generative AI and Natural Language Processing (NLP).
3. Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
4. Strong understanding of large language models (LLMs) and their applications in text generation and understanding.
5. Experience with cloud platforms (e.g., AWS, Azure) and related services for deploying and managing AI solutions.
6. Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.
7. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
8. Strong analytical and problem-solving abilities, with a keen attention to detail.
9. Demonstrated ability to drive innovation and lead technical initiatives from concept to production.

Preferred Qualifications:

1. Experience with prompt engineering techniques for fine-tuning large language models.
2. Knowledge of advanced machine learning techniques such as reinforcement learning and transfer learning.
3. Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).
4. Experience working in Agile or other iterative development methodologies.
5. Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).