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Research Engineer - Generative AI & Natural Language Processing (NLP)
2-5 years
₹ 9.45 - 28L/yr (AmbitionBox estimate)
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 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
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 descriptionSiemens Interview Questions & Tips
Prepare for Siemens Research Engineer roles with real interview advice
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What people at Siemens are saying
Rating based on 8 Research Engineer
reviews
Anonymous · Research & Development
in Bangalore / Bengaluru
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.
Research Engineer salary at Siemens
reported by
54
employees
with 2-6
years exp.
₹9.2
L/yr - ₹30
L/yr
95%
more
than the average Research Engineer Salary in India
View more details
What Siemens employees are saying about work life
based on 4.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Siemens Benefits
Submitted by Company
Flexible Work Options and Hybrid Work Models Employee Engagement Health & Wellness Career Development
Submitted by Employees
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