Senior Full Stack Engineer

4 weeks ago

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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