Senior Full Stack Engineer

2 months ago

Singapur, Singapore TE Connectivity Full time
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 we strongly believe that data and AI are strategic drivers for future success. We are building a world class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business units.

TE is looking for a talented Senior Full Stack Engineer to join our team and lead the development of AI/ML/GenAI web applications. The ideal candidate will have a strong technical background in both front-end and back-end development, with a focus on Angular, React, FastAPI and Python. You will be responsible for developing and maintaining high-quality, reliable, and innovative AI applications that meet the needs of our users.


As a Senior Full Stack Engineer you will collaborate closely with data scientists, DevOps engineer and MLOps engineer to implement and deploy AI algorithms and models as cloud-based web applications. Ensuring the scalability and performance of these applications. Staying current with best practices in AI development, web development, and cloud deployment will be essential.

Job Responsibilities

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

Job Requirements

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

We Value: 

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

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

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