Research Engineer - NLP

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Job Summary: 

As a Research Engineer in NLP, you will design, develop, and implement advanced NLP algorithms and models to solve complex problems in areas such as language understanding, text generation, software engineering, etc. You will collaborate with our interdisciplinary team of researchers and engineers to advance the state-of-the-art in NLP and develop practical applications for the industry. 

Roles & Responsibilities:

1. Research and Development: Design, develop, and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks. 

1. Algorithm Engineering: Implement NLP algorithms and models from theory to practice, ensuring their scalability, efficiency, and performance. 

1. Experimentation and Evaluation: Conduct thorough experiments and evaluations of NLP models to determine their effectiveness and identify areas for improvement. 

1. Model Optimization and Deployment: Optimize and deploy NLP models for production-ready use cases, ensuring their reliability and maintainability. 

1. Knowledge Sharing and Collaboration: Collaborate with the research team to share knowledge, best practices, and research results. 

1. Staying Up to Date: Stay current with the latest developments in NLP research and industry trends. 

1. Documentation and Communication: Write technical reports, papers, and documentation to communicate research results and best practices. 

1. Mentorship and Training: Mentor and train junior researchers and engineers to develop their NLP skills. 

Qualifications

Educational qualification:

Ph.D. or M.S. from top Indian institutes (IITs, IIITs, IISc etc.) ?in Computer Science or a related field (e.g., NLP, linguistics, artificial intelligence, cognitive science). 

Experience:

3 - 4 Years of Industry experience.

Mandatory/requires Skills:

1. Strong background in NLP, including language understanding, text processing, and machine learning.  

2. Proficiency in one or more programming languages (e.g., Python, Java, C++, R). 

3. Familiarity with NLP frameworks and toolkits (e.g., PyTorch, TensorFlow, spaCy, NLTK). 

4. GenAI Skills and Tools: RAG, Quantization, LLM-fine tuning, Parameter Efficient Fine-tuning (PEFT) using LoRA/QLoRA, LangChain, LangGraph/AutoGen/CrewAI. 

5. MLOps: Atleast one of MLFlow, DVC, Wandb, Airflow. 

6. Strong knowledge of machine learning and deep learning concepts, including supervised and unsupervised learning methods.

7. Research experience with publication(s) in top-tier NLP conferences.

8. Excellent problem-solving and analytical skills, with a strong ability to design and implement solutions. 

9. Strong communication and collaboration skills, with the ability to effectively communicate technical research and ideas to both technical and non-technical stakeholders.