Job Description

The Group You'll Be A Part Of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.


Eligibility Criteria:
• Years of Experience : Minimum 7-9 years
• Job Experience: Experience in developing AI/ML Models, MLOPS Pipeline and Data Analytics. Data layer Design & Development.
• Educational : BTech or MTech: Engineering/Math/Statistics/Data Science/AIML /Computer Science from leading institutes.
Primary Responsibilities:
• Develop AI/ML Model/data integration models and solving complex business problems.
• Deliver projects on Advanced Analytics and Data Architecture, with an understanding and alignment with Enterprise Architecture
• Deliver quick POCs and Bring in data insights by using different complex data, and multiple data sources.
• Deliver solutions on Enterprise Data Platform- Big Data, SQL, SAP HANA, Azure, MS fabric etc. combined with SQL Server, SAP HANA models, Complex T code conversions, complex SQL/CVs, and ETL tools.
• Work independently to deliver Advanced Analytics Model.
• Communicate Effectively the specifications, architecture/Design details, and flowcharts to have end-user alignment and thorough instructions for programmers to follow as well as delivery quality accountability.
• Responsible for Data governance and overseeing implementation, coordinating tests, and proper technical sign-off for production go-live.
• Collaborate and adopt the latest technology stack in alignment with the Enterprise IT roadmap.
Mandatory Skills needed to perform the job: • Experience in developing analytics solutions with SAP HANA/SAP ECC/SQL Server.
• Hands-On working experience on any Cloud Platforms like Azure, AWS, GCP etc and delivered Advanced Analytics solutions
• Hands on experience with Big Data platforms, Spark and CUDA
• Expertise in Python, Statistics and Applied ML and DL. Proficient with Computer Vision and NLP including GenAI.
• Well versed with MLOPS and MLFAILSAFE concepts and Hands on experience in implementing it.
• Hands-On experience in integrating analytical solutions with the Software or Web Application
• Well versed with agile methodologies for delivery and used tools like Jira, Azure devops/git etc.
• Good skills in managing Stakeholders' (internal and external) Expectations.
• Excellent verbal and written communication and presentation skills, able to communicate with cross-function global teams.
• Understand the business context and be able to interpret data and make recommendations to businesses based on data analysis.
Desirable Skill: • Strong knowledge of Supply Chain Business Applications like Kinaxis, Supply Chain Guru, Inventory Optimization, SPM, SAP ECC, SAP S/4, Microsoft Dynamics
• Prefer experience in Supply Chain, Inventory, Logistics, and Finance
• Experience with Power Platform (Power Apps, Power Automate & Power BI)
• Working Experience in Business Domains like Semiconductors, Supply Chain Manufacturing, Supply Chain Quality, or Operations.
Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.


Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.


•Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.•