Machine Learning Engineer

Job Description

We are looking for experienced individuals that are highly independent and passionate to work on advancing manufacturing with data science capabilities. Innovative thinkers who are highly interested in explorations, pathfinding, and piloting new capabilities using Predictive Modeling, Deep Learning, Computer Vision, Generative AI, Natural Language Processing, ML-based optimization/simulation and other techniques.

• Explore and path-find solutions to complex business problems, coordinate concept proving and pilot testing. Works closely with business stakeholder, observations to find patterns and relationships in data.
• Interacts with users and users leadership to define requirements and plans for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software.
• 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.
• Enable MLOps for scaled/POR integration, deployment, adoption and support.

Qualifications

• Candidate must have at least 5+ years of working experience.
• Has degree in Computer Science, Mathematics, Machine Learning, Al, Optimization, Operation Research, Statistics or equivalent.
• Independent and self-driven individuals with a must have deep knowledge in machine learning algorithms and applying to solve problems in various disciplines. Deep expertise in Python, Tensorflow, Large Language Model, CNVRG, 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, etc.
• 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

Inside this 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.

Other Locations

MY, Kulim

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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

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. In certain circumstances the work model may change to accommodate business needs.