Applied Materials Jobs

About Applied

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Your Opportunity

• 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML)

• Strong programming skills in Python

• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)

• Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented).

• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.

• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.

• Building RAG application independently using available open source LLM models.

• Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks).

Roles and Responsibility

• Your primary responsibility is to Architect, design and develop AI application on Azure cloud / On-prem development platform.

• Lead the AIML solution design/development for various applications depending on business requirements

• Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.

• Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.

• You will work with a team of researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.

• Work with business users to translate functional requirements into data specifications

• Collaborate with data scientists and business users to transform domain know-how into functional requirements.

• Data Analysis and Preprocessing: Collect and preprocess large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.

• Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.

• Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.

• Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.

Qualifications

• B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field

• Python, RDBMS, Big Data, deep learning framework, AIML libraries in python, LLM’s, Azure DataBricks ML platform

Additional Qualifications:

Good communication Skills and Project Management

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

2 - 4 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.