Data Scientist
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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:
BangaloreINDYoull 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 possiblewhile 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. Were 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.
Educational Qualifications:
- B.E./ in Computer Science Electronics & Communication Electrical Engineering or a related field.
- A masters degree in Computer Science Artificial Intelligence or a specialization in Deep Learning or Natural Language Processing is highly preferred.
Experience:
- 4 - 7 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 skillsinterpersonal 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 timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesApplied 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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
