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702 Siemens Jobs

Research Engineer - Generative AI & Natural Language Processing (NLP)

2-5 years

₹ 9.45 - 28L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Research Engineer - Generative AI & Natural Language Processing (NLP)

Siemens

posted 3mon ago

Job Description

  • Apply Generative AI & NLP Techniques
  • Utilize state-of-the-art Generative AI and NLP techniques to extract insights from large volumes of data with different modalities such as text, image, charts, graph, video, sound, 2D Drawing, 3D geometry, code & logs.
  • Work on various Generative AI applications such as text generation, retrieval-augmented generation (RAG) systems, Q&A systems, and recommendation engines tailored for business and industrial contexts.
  • Develop Innovative AI Applications with Agentic AI workflows
  • Collaborate with cross-functional teams to create and enhance Agentic AI capabilities, including developing skill-based agents for specific tasks in industrial use cases.
  • Fine-tune and benchmark Generative AI models using domain-specific datasets, focusing on performance improvement, reliability, and scalability.
  • Implement and evaluate modality-specific encoder models (text, image, audio), optimizing them for specific industrial applications.
  • Brainstorm and propose new application use cases for Generative AI in industrial setups, such as predictive maintenance, process optimization, and intelligent automation.
  • Contribute to creating intellectual property (IP) and publish research findings in top-tier journals and conferences.
  • Collaborate and Contribute in a fast-paced Environment
  • Work effectively in an agile, dynamic team environment, delivering technical implementations with complex dependencies and requirements.
  • Commitment to ethical AI practices, including bias mitigation, fairness, transparency, and data privacy.
  • Strong collaboration skills to work with cross-functional teams and non-technical stakeholders.
You d describe yourself as:
  • PhD/Master s/bachelor s degree in computer science, Data Science, Artificial Intelligence, or a related field from a reputed institute.
  • Experience: 2-5 years of experience in Generative AI, NLP, and related AI technologies, including model fine-tuning and evaluation.
Technical Expertise:
  • Solid understanding of Generative AI models and NLP techniques, including RAG systems, text generation, and embedding models.
  • Exposure to Agentic AI concepts, agent development and frameworks
  • Hands-on experience with Generative AI, machine learning tool, libraries and frameworks
  • Knowledge of modality-specific encoder models (e.g., text, image, audio).
  • Familiarity with data standardization and Knowledge Graphs (good to have).
  • Analytical Mindset:
  • Strong problem-solving skills with the ability to design and implement novel AI solutions.
  • Dedication to continuous learning and staying updated on the latest Gen AI advancements.
  • Excellent communication skills and the ability to work collaboratively in a team.

Employment Type: Full Time, Permanent

Read full job description

Siemens Interview Questions & Tips

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Top Siemens Research Engineer Interview Questions

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What people at Siemens are saying

3.8
 Rating based on 8 Research Engineer reviews

Likes

Friendly and supportive work environment, Quality of projects

  • Salary - Good
  • +6 more
Dislikes

Sometimes it's a bit crowded workplace due to flexible sitting. The headcount is more than the available workstations.

Read 8 Research Engineer reviews

Research Engineer salary at Siemens

reported by 48 employees with 2-5 years exp.
₹9.2 L/yr - ₹30 L/yr
101% more than the average Research Engineer Salary in India
View more details

What Siemens employees are saying about work life

based on 4.9k employees
75%
69%
47%
94%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Siemens Benefits

Submitted by Company
Flexible Work Options and Hybrid Work Models
Employee Engagement
Health & Wellness
Career Development
Submitted by Employees
Health Insurance
Job Training
Soft Skill Training
Cafeteria
Work From Home
Free Transport +6 more
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