Senior Full-Stack Engineer

2 weeks ago

Singapore TYCO ELECTRONICS SINGAPORE PTE LTD Full time
Roles & Responsibilities

Here at TE, we deeply believe that data and AI play a crucial role in paving the way for future accomplishments. We are establishing a top-notch advanced analytics squad aimed at unraveling complex strategic issues and enhancing both revenue growth and operational efficiencies across our business divisions.

We are currently on the lookout for an experienced Senior Full Stack Engineer to become a valuable addition to our team, taking charge of steering the development of AI/ML/GenAI web applications. The perfect candidate will boast a robust technical background in front-end and back-end development, placing emphasis on Angular, React, FastAPI, and Python. Your primary responsibility will involve crafting and upkeeping top-tier AI applications that are dependable, innovative, and cater to our users' requirements.

As a Senior Full Stack Engineer, you will work hand in hand with data scientists, DevOps engineers, and MLOps engineers to roll out AI algorithms and models as web applications in the cloud. It's imperative to ensure the scalability and performance of these applications. Keeping up to date with the latest trends and practices in AI development, web development, and cloud deployment is crucial.

Job Responsibilities:

  • Designing and developing high-performing AI/ML/GenAI web solutions to tackle various engineering and business hurdles.
  • Developing both front-end and back-end components for web applications, integrating AI algorithms and models to furnish AI-infused functionalities.
  • Collaborating with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and brainstorm architectural blueprints.
  • Deploying web applications in a live environment, whether on a local server or cloud platforms like AWS.
  • Creating and overseeing databases to house user data and AI-related details.
  • Setting up and configuring the necessary infrastructure for AI and web solutions, covering servers, databases, cloud services, and networking elements.
  • Implementing CI/CD pipelines to automate the deployment of AI and web solutions, ensuring expedited and dependable delivery.
  • Monitoring the performance of AI and web solutions in production, and fine-tuning them for enhanced scalability, reliability, and efficiency.
  • Conducting tests and quality assurance procedures to guarantee the reliability, security, and performance of AI and web solutions.
  • Hands-on prototyping of cutting-edge technology solutions through collaborative efforts with various teams.

Job Requirements:

  • BE or Master's in computer science or a related field with over 5 years of experience.
  • Familiarity with web development, data processing techniques, distributed computing, high-performance computing, cloud computing (such as AWS), deployment and maintenance, object-oriented programming (OOP), and software as a service (SAAS).
  • In-depth knowledge of back-end software development, front-end development, database management, data science, and machine learning.
  • Proficiency in Python, SQL, PostgreSQL, MongoDB, HTML, JavaScript, React, Angular, FastAPI, REST API, or similar languages.
  • Acquainted with machine learning algorithms involving multiple data types.
  • Hands-on experience with Linux operating systems (Ubuntu, CentOS, etc.).
  • Skillful in Docker/Kubernetes, DevOps, MLOps, CI/CD, Gitlab.
  • Background in Agile projects and Agile methodology in general.
  • Excellent problem-solving, communication, and team collaboration skills.

We Value:

  • Experience in AI Project deployments utilizing Cloud and On-premises solutions.
  • Strong problem-solving abilities with an outcome-oriented mindset.
  • Decision-making driven by factual evidence and logical thinking.
  • Effective communication skills - adept at engaging with business users and senior executives.
  • Hold certifications in AI/ML technologies and Cloud platforms, like AWS Certified Machine Learning.
  • Capable of functioning effectively in fast-paced environments with ambiguity, providing technical insights and clarity.
Tell employers what skills you have

MongoDB
Scalability
PostgreSQL
HTML
Agile
JavaScript
Reliability
Agile Methodology
SQL
Python
SaaS
Web Applications
Web Development
Databases
Linux
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