Western Digital New College Graduate Machine Learning Engineer 

India, Haryana, Faridabad 

425358620

Here’s how you can help.

AAO solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing test, yield, quality & OEE, AI/ML & data analytics for sales, marketing, logistics & supply chain problems, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions. Many of these solutions are first-of-a-kind that have discovery and rapid learning elements with the intent of taking solution to scale.

Essential Duties & Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to solve real-world problems.
• Preprocess and analyze large datasets to derive meaningful insights.
• Collaborate with cross-functional teams (e.g., engineering, manufacturing, procurement) to integrate machine learning solutions into existing systems.
• Develop and implement Rapid Learning Cycle (RLC) projects to demonstrate the value proposition in specific areas
• Optimize model performance and ensure scalability for production environments.
• Stay up to date with the latest trends and advancements in AI and ML.
• Create clear documentation of workflows, models, and results.

Required:

• Bachelor's or Master's degree in Data Science, Computer Science, Machine Learning, or a related field with a graduation date between May 2024-June 2025. 2-3 years of relevant work experience is preferred.
• Strong proficiency in Python programming, with experience in libraries such as Pandas, Scikit-learn, and either TensorFlow or PyTorch for deep learning frameworks.
• Experience with data cleaning and pre-processing techniques, ML algorithms and statistical modeling techniques.
• Experience with deep learning and generative AI e.g., LLMs, GANs, VAEs.
• Experience with Graph NN/CNN and Reinforcement Learning.
• Familiarity with graph databases (e.g., Neo4j) and graph-based analysis tools, including expertise in graph query languages (e.g., Cypher) is a plus.
• Proficiency in SQL database queries. Familiarity with data pipelines and AWS technologies is advantageous.
• Understanding of ML Ops principles and best practices.
• Proficiency with object-oriented programming and code version control.

Based on our experience, we anticipate this job will close on or before. If we have not closed our search by this date, we will update this posting with a new anticipated close date.

Compensation & Benefits Details

• An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
• The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
• You will be eligible to participate in Western Digital’s Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital’s Standard Terms and Conditions for Restricted Stock Unit Awards.
• We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Western Digital Savings 401(k) Plan.
• Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.