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 Modelling, Deep Learning, Computer Vision, Generative AI, Natural Language Processing, ML-based optimization/simulation and other techniques.
ResponsibilitiesExplore and path-find solutions to complex business problems, coordinate concept proving and pilot testing. Work closely with business stakeholders, observing to find patterns and relationships in data.
Interact with users to define requirements for breakthrough products/solutions. In either research environments or specific product environments, utilize current programming methodologies to translate machine learning models and data processing methods into software.
Build machine learning workflows and infrastructure necessary to productize AI models and sustain them in production.
Prepare data for ML models at scale, build appropriate inference interfaces for ML model consumption, enable ML Ops for continuous delivery and automation of ML pipelines, and/or build and sustain AI production platforms.
Enable MLOps for scaled/POR integration, deployment, adoption, and support.
QualificationsCandidate must have at least 3+ years of working experience. Project/program management experience will have an added advantage.
Deep knowledge in machine learning algorithms and applying them to solve problems in various disciplines.
Strong understanding of manufacturing business segment stakeholders and possesses strong written and communication skills.
Deep expertise in Python, TensorFlow, Large Language Model, CNVRG, ELK, Kubernetes, KubeFlow, Scripting, SQL queries, and related software.
Skilled in programming, testing, debugging, documentation, and/or deployment of the solution/products.
Ability to build data ingestion libraries from heterogeneous data sources including Postgres SQL, MS SQL, Excel, Oracle, JSON, Teradata, etc.
Curiosity and an endless desire to learn, along with a passion for solving intricate business problems using data science.
Degree in Computer Science, Mathematics, Machine Learning, AI, Optimization, Operations Research, Statistics or equivalent.
Inside this Business GroupAs 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.
Working ModelThis 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.#J-18808-Ljbffr