POSITION RESPONSIBILITIES:
As the Technical Lead for Generative AI, you will play a pivotal role in guiding our team of skilled data scientists, architects, and implementation experts. You will be responsible for leading the design, development, and implementation of state-of-the-art generative AI solutions. This role requires a deep understanding of data science, strong architectural skills, and a proven track record of successfully delivering complex AI projects.
1. Leadership and Team Management:
o Lead and inspire a cross-functional team of data scientists, engineers, and architects.
o Foster a collaborative and innovative team culture.
o Provide technical guidance and mentorship to team members.
2. Generative AI Strategy and Planning:
o Collaborate with stakeholders to define the generative AI strategy and roadmap.
o Evaluate and recommend emerging technologies to enhance our AI capabilities.
o Stay abreast of industry trends and advancements in generative AI.
3. Data Science Expertise:
o Oversee the development of robust and generative AI applications.
o Ensure the application of best practices in machine learning and data science.
4. Solutions Architecture:
o Design end-to-end architecture for generative AI solutions, considering scalability, security, and performance.
o Collaborate with the architecture team to integrate AI solutions seamlessly into existing systems.
o Provide technical leadership in the selection of appropriate technologies for AI implementation.
5. Implementation and Deployment:
o Lead the implementation of generative AI and NLP models/applications into production environments.
o Ensure the seamless integration of AI solutions with existing systems and processes.
o Collaborate with development and operations teams to optimize deployment processes.
EXPERIENCE AND QUALIFICATIONS:
10 years of experience in algorithmic product development
Proven experience in leading and managing technical teams.
Strong background in data science, machine learning, and generative AI.
Expertise in solutions architecture with a focus on scalability and performance.
Hands-on experience in implementing and deploying AI solutions in real-world scenarios.
Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
EDUCATION:
Master's or Ph.D. in Computer Science, Data Science, or a related field.