Data Scientist – Architect Job Vacancy in Lam Research Bengaluru, Karnataka – Updated today
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Company Name : Lam Research
Location : Bengaluru, Karnataka
Position :
Job Description : Job Responsibilities
Are you excited by the idea of creating AI that works at sub-atomic scale that is transforming the world around us? As a Full-Stack Data Scientist you will play a pioneering role in advancing process automation using diverse enterprise data streams. Our goal is to advance machine and decision intelligence in Lam Research’s product portfolio, empower our teams and accelerate innovation. Join our team that is building models, pipelines, tools and infrastructure to advance equipment intelligence in Semiconductors.
** WHAT YOU WILL DO: **
Work with machine learning engineers, researchers to accelerate AI/ML development for Industry 4.0 use-case deployment.
Work with state-of-the-art tools and frameworks to build scalable and efficient distributed pipelines for data processing, dataset generation, model training and inference.
Develop, train and optimize Machine Learning and Deep Learning models using high performance compute to perform vision recognition tasks.
Create foundational and product specific assets that are both cloud native and edge optimized (while being cloud agnostic)
This individual would be working at the intersection of MLOps, Software Engineering and Data Science.
Minimum Qualifications
Minimum 3-4 years’ experience with end to end ML development and deployment.
Ability to formulate and develop DS/ML solutions and implement them successfully
Ability to work with, guide and lead small cross-functional technical (CloudOps, Infrastructure, Data Engineering, UX) teams while being hands-on.
Feature pipelines and/or model development experience in Computer Vision, data augmentation, automated labeling (with frameworks like OpenCV, PyTorch or similar frameworks), Edge/Streaming Analytics.
Strong Python programming experience, with demonstrated experience in package development, deploying software in a production setting, debugging
Strong in data/feature engineering and distributed processing with PySpark, etc.
Comfortable with full-stack data science development, Docker, Kubernetes etc.
Strong visualization skills, familiarity with Azure Stack, AI services and app development is a plus.
Demonstrable experience with ML Life-cycle management tools, data version and model version control and implementing MLOps
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.
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We Look Forward to Your Application
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