Senior Full Stack Engineer
2 weeks ago
At TE Connectivity, we are committed to creating a safer, more sustainable, and connected world. We are seeking a talented Senior Full Stack Engineer to join our team and lead the development of AI/ML/GenAI web applications.
Key Responsibilities- Design and develop high-performance AI/ML/GenAI web solutions to solve various engineering and business challenges.
- Develop front-end and back-end components for web applications, integrating AI algorithms and models into web applications to provide AI-driven functionality.
- Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
- Deploy web applications in a production environment, including local server or cloud platforms like AWS.
- Design and manage databases to store user data and AI-related information.
- Set up and configure the infrastructure needed for AI and web solutions, including servers, databases, cloud services, and networking components.
- Implement CI/CD pipelines to automate the deployment of AI and web solutions, ensuring rapid and reliable delivery.
- Monitor the performance of AI and web solutions in production, and optimize them for improved scalability, reliability, and efficiency.
- Conduct testing and quality assurance activities to ensure the reliability, security, and performance of AI and web solutions.
- Hands-on prototyping of new technology solutions by working with cross-functional teams.
- BE or Master's in Computer Science or related field with 5+ years of experience.
- Understanding of web development, data processing techniques, distributed computing, high-performance computing, cloud computing (like AWS), deployment and maintenance, object-oriented programming (OOP), software as a service (SAAS), etc.
- Deep understanding of back-end software development, front-end development, and database management, data science, and machine learning.
- Strong programming skills in Python, SQL, PostgreSQL, MongoDB, HTML, JavaScript, React, Angular, FastAPI, RESTAPI, or similar languages.
- Familiar with machine learning algorithms involving multiple data types.
- Experience with Linux operating system (Ubuntu, CentOS, etc.).
- Experience with Docker/Kubernetes, DevOps, MLOps, CI/CD, Gitlab.
- Experience working on Agile projects and Agile methodology in general.
- Excellent problem-solving, communication, and teamwork skills.
- Experience in AI project deployments leveraging cloud and on-premises.
- Robust problem-solving skills and a focus on achieving results.
- Decision-making based on factual evidence and logical reasoning.
- Strong communication skills – ability to interact with business users and executives.
- Certifications in AI/ML technologies and cloud platforms, such as AWS Certified Machine Learning.
- Ability to work in ambiguous, constrained, fast-paced environments and provide technical depth and clarity.
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
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