Senior Full Stack Engineer (Hybrid Work Set-Up)
TE Connectivity
- Singapore
- Permanent
- Full-time
- Design and develop high-performance AI/ML/GenAI web solutions to solve various engineering and business challenges.
- Developing 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.
- Deploying 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 teams
- BE or Master's in computer science or related field with 5+ years of experience.
- Understanding of some or all of the following: 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 skill 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, communications, 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 environment and provide technical dept and clarity