Data Scientist

Applied Materials is a global leader in materials engineering solutions, enabling the production of advanced chips and displays. We are seeking a Data Scientist to join our team in Bangalore, India. This role involves designing, pretraining, and fine-tuning large-scale deep learning models, including LLMs for NLP tasks. You will contribute to cutting-edge technology, leveraging your expertise in Python, deep learning frameworks, and cloud environments. We offer a supportive culture for career growth and innovation, with comprehensive benefits focused on employee wellbeing.

Must Have

• B.E./B.Tech/M.Tech/MCA in Computer Science, ECE, EE, or related field.
• Minimum 3+ years in data science.
• Proven experience designing, pretraining, fine-tuning large-scale deep learning models, including LLMs for NLP.
• Strong Python programming skills with TensorFlow, PyTorch, or Keras.
• Familiarity with Databricks notebooks, MLflow, Delta Lake.
• Experience with MLOps best practices, CI/CD, automated deployment.
• Proficiency in data preprocessing, augmentation, large-scale datasets.
• Solid understanding of transformer architectures (BERT, GPT, LLaMA).
• Knowledge of prompt engineering, parameter-efficient fine-tuning (LoRA, adapters).
• Strong expertise in Azure cloud ecosystem.
• Experience in UNIX/Linux environments, command-line tools, scripting.

Good to Have

• Master’s degree in Computer Science, AI, Deep Learning, or NLP.
• Exposure to computer vision or multimodal models.

Perks & Benefits

• Supportive work culture for learning, development, and career growth.
• Programs and support for employee health and wellbeing.
• Competitive and comprehensive total rewards program.
• Employee Assistance Program, meditation, family support, travel insurance.
• Free career development, mentoring, technical, and professional courses.
• Worldwide "Giving" program with company matching for donations and volunteering.

Job ID

R2518621

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location: Bangalore,IND

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Data Scientist

Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master’s degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Natural Language Processing is highly preferred.

Experience:

• 4–6 years of IT experience, with a minimum of 3+ years in data science.
• Proven experience in designing, pretraining, and fine-tuning large-scale deep learning models, including Large Language Models (LLMs) for NLP tasks such as text generation, summarization, and question answering.

Technical Skills:

• Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
• Proficiency in data preprocessing, augmentation, and handling large-scale datasets (text, image, or multimodal).
• Solid understanding of transformer architectures (e.g., BERT, GPT, LLaMA) and techniques for pretraining and fine-tuning LLMs.
• Knowledge of prompt engineering, parameter-efficient fine-tuning (LoRA, adapters), and evaluation of generative models.
• Exposure to computer vision or multimodal models is a plus.

Cloud & Infrastructure:

• Strong expertise in Azure cloud ecosystem.
• Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills—interpersonal, written, visual (presentations), and verbal.
• Ability to collaborate effectively across cross-functional teams and mentor junior team members.

Its a replacement position

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. 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.

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