Machine Learning Engineer

Job Posted 25 Days Ago Posted 25 Days Ago
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2 Locations
Senior level
Artificial Intelligence • Cloud • Information Technology • Software • Semiconductor
Creating world-changing technology that enriches the lives of every person on earth.
The Role
The Machine Learning Engineer designs, develops, and deploys AI-enabled software applications in a manufacturing ecosystem. Responsibilities include creating scalable ML workflows, automating pipelines, integrating with existing systems, and ensuring reliable solutions. The engineer collaborates with cross-functional teams, prepares data for models, and applies the latest advancements in software development and AI.
Summary Generated by Built In

Job Details:

Job Description: 

  • Designs, develops, tests, debugs and deploy software applications in manufacturing ecosystem embedded with AI capabilities such as Predictive Modeling, Deep Learning, Computer Vision, Generative AI, Natural Language Processing, ML-based optimization/simulation and other techniques or integrated with other applications within manufacturing ecosystem.
  • Development spans the full application stack including both frontend and backend application development.
  • Uses modern software development methodologies and programming languages, follows secure coding practices and software legal compliance guidelines, analyzes user stories, writes both functional and test code, automates build and deployment, and performs unit integration and end to end testing of applications or systems.
  • Solution developed with reusable software components, scalable framework and platform. Builds machine learning workflows and infrastructure necessary to productize AI platforms, self-service AI solutions, or AI models and sustain them in production.
  • Responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI production platforms.
  • Work closely with cross-functional teams to integrate solution with existing manufacturing systems, ensuring that the solutions are scalable, reliable, deliver tangible results and transform operations.
  • Completes SDL tasks, document development processes and maintain comprehensive records of codebases as well as procedures for installation and maintenance. Interact with end users to define system requirements and/or necessary modifications.
  • Stay abreast of the latest advancements in software development, AI, GenAI, MLOps and evaluate their applicability to the manufacturing processes and ecosystems.

Qualifications:

  • Candidate must have at least 5+ years (Master's Degree) or 8+ years (Bachelor's degree) experience in Computer Science/Computer Engineering or related field with solid software programming experience.
  • Independent and self-driven individuals with a must have deep knowledge in full stack software development, machine learning algorithms and applying to solve problems in various disciplines. Deep expertise in Angular, C#, ASP.Net, Python, Tensorflow, Large Language Model, ELK, Kubernetes, KubeFlow, Scripting, SQL queries, and related software.
  • Ability to build data ingestion libraries from heterogeneous data sources including Postgres SQL, MS SQL, Excel, Oracle, Json, Teradata and skilled in integrating with RESTful APIs.
  • Experience in AI or software solution architecture design, and development will be an added advantage.
  • Skilled in programming, testing, debugging, documentation and/or deployment of the solution/products.
  • Have strong understanding of manufacturing business segment stakeholders and possess strong written and communication skills. Project/program management experience will have an added advantage.
  • Curiosity and endless desire to learn, along with passion for solving intricate business problems using data science.

          

Job Type:Experienced Hire

Shift:Shift 1 (Malaysia)

Primary Location: Malaysia, Penang

Additional Locations:Malaysia, Kulim

Business group:As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Top Skills

Angular
Asp.Net
C#
Elk
Kubeflow
Kubernetes
Large Language Model
Python
SQL
TensorFlow
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The Company
HQ: Santa Clara, CA
141,941 Employees
On-site Workplace
Year Founded: 1968

What We Do

Intel’s mission is to shape the future of technology to help create a better future for the entire world. By pushing forward in fields like AI, analytics and cloud-to-edge technology, Intel’s work is at the heart of countless innovations. From major breakthroughs like self-driving cars and rebuilding the coral reefs, to things that make everyday life better like blockbuster effects and improved shopping experiences — they’re all powered by Intel technology. With a career at Intel, you have the opportunity to help make the future more wonderful for everyone.

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