At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
At TE Connectivity, we believe that data and AI are strategic drivers for future success. We are building a world-class advanced AI team to solve complex strategic problems and deliver topline growth and operational efficiencies across our business units. As a Staff Generative AI Engineer, you will play a crucial role in developing and implementing cutting-edge generative AI solutions to drive innovation and efficiency in our products and processes.
Job Responsibilities
Generative AI Development:
- Design, develop, and implement state-of-the-art generative AI models and algorithms
- Optimize and fine-tune existing models for specific use cases within TE Connectivity
- Collaborate with cross-functional teams to identify and prioritize generative AI applications
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MLOps and Deployment:
- Develop and maintain efficient MLOps pipelines for generative AI models
- Ensure smooth integration of generative AI solutions into existing systems and workflows
- Optimize model performance and scalability for production environments
Prompt Engineering
- Develop and refine prompt engineering techniques to optimize generative AI model outputs
- Create and maintain a library of effective prompts for various use cases within TE Connectivity
- Train team members on best practices in prompt engineering and efficient interaction with AI model
Technical Skills:
- Demonstrated expertise in prompt engineering for large language models (LLMs) and other generative AI systems
- Experience with prompt optimization techniques, including chain-of-thought prompting, few-shot learning, and instruction fine-tuning
- Familiarity with prompt engineering tools and frameworks
Prompt Engineering Proficiency:
- Proven track record of improving AI model performance through advanced prompt engineering techniques
- Experience in developing prompt strategies for diverse applications, from natural language processing to multimodal AI systems
- Ability to create and implement prompt templates that ensure consistent and high-quality AI-generated outputs
Job Requirements
Education and Experience:
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field
- 8+ years of experience in AI/ML, with a strong focus on generative AI technologies
- Proven track record of developing and deploying generative AI solutions in production environments
Technical Skills:
- Expert-level proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow)
- In-depth knowledge of generative AI models (e.g., GPT, DALL-E, GANs, VAEs,Claude)
- Strong background in natural language processing, computer vision, or multimodal AI
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools
Problem-Solving and Innovation:
- Excellent problem-solving skills with the ability to tackle complex AI challenges
- Innovative mindset with a passion for exploring new AI technologies and applications
Communication and Collaboration:
- Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders
- Ability to work effectively in cross-functional teams and mentor junior AI engineers
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork