Data Scientist 4

Lam Research; Bengaluru; Hybride; INR 4 000 000 - 6 000 000; Plein temps

Résumé du poste

Lam Research in Bengaluru is seeking a Data Scientist 4 to build scalable AI/ML and Generative AI solutions. You will design architectures, deploy production models, and push innovation across the Office of the CTO group.

You will lead projects, collaborate with data scientists and engineers, and establish monitoring with governance to ensure reliable models. A strong foundation in Python/R and cloud platforms is required.

Qualifications

• 8–12 years of enterprise data science and AI/ML experience.
• Strong programming skills in Python or R and ML/DL frameworks.
• Experience deploying models on cloud platforms and MLOps.
• Experience leading projects with agile methods.
• Excellent communication and stakeholder management.

Responsabilités

• Design, develop, and deploy end-to-end AI/ML and Generative AI solutions.
• Build scalable ML architectures and evaluate tools/frameworks.
• Develop production-ready models and deploy on cloud with MLOps.
• Collaborate with data scientists, engineers, and business stakeholders.
• Lead technical design discussions and mentor teams.
• Establish monitoring and governance for model reliability.
• Deliver rapid POCs and extract insights from diverse data.
• Work schedule: standard business hours with cross-team collaboration.

Connaissances

Python

R

ML/DL frameworks

Azure

AWS

GCP

Big data (Hadoop/Spark)

MLOps

Agile methodologies

Communication & Stakeholder Mgmt

Formation

Bachelor/Master/PhD in CS/DS/Engineering

Outils

Azure

AWS

GCP

Description du poste

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Data Scientist 4

Date: Oct 14, 2026

Location: Bangalore, IN-Bangalore, IN

Worker Category: On-site Flex

The group you’ll be a part of

The Office of the CTO is where innovation takes center stage. We inspire our global technicalcommunity to take on grand challenges, understand emerging trends, identify the criticalinflections, and drive our sustainability, Environment, Social, and Governance (ESG) practicesthat will define the next generation of semiconductors and continued impact.

The impact you’ll make

In this role, you will directly contribute to building scalable AI and machine learning solutions that empower our teams to make faster, smarter decisions. You’ll help shape the next generation of AI capabilities by designing modern architectures, deploying production‑grade models, and driving innovation across the organization.

What you’ll do

• Design, develop, and deploy end-to-end AI/ML and Generative AI solutions that support critical business needs.
• Build scalable machine learning architectures and evaluate modern tools, frameworks, and platforms to strengthen our data science ecosystem.
• Develop production-ready models and deliver solutions on cloud environments (preferably Azure) using strong MLOps practices.
• Partner closely with data scientists, engineers, and business stakeholders to translate business problems into technical solutions with measurable impact.
• Lead technical design discussions, guide teams through complex AI/ML challenges, and foster a collaborative innovation culture.
• Establish monitoring, governance, and fail‑safe mechanisms to ensure model reliability and continuous improvement.
• Deliver rapid POCs and extract meaningful insights from diverse and complex datasets.
• Work Schedule: Standard business hours with flexibility to collaborate across teams.

Who we’re looking for

• Strong programming skills in Python or R and expertise with ML/DL frameworks.
• Experience with cloud platforms (Azure, AWS, or GCP) and big-data technologies (e.g., Hadoop, Spark).
• Proven understanding of MLOps, model deployment, and ML fail‑safe principles.
• Hands‑on experience in leading projects using agile methodologies.
• Strong communication and stake holder management skills.
• 8-12 years of experience delivering enterprise‑scale data science and AI/ML solutions.
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications

• Background in building highly scalable production ML systems.
• Familiarity with advanced statistical modelling and applied machine learning techniques.

Experience guiding teams in high impact technical environments

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.

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