Research Engineer NLP

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Roles & Responsibilities:

Research and Development: Design develop and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks.
Algorithm Engineering: Implement NLP algorithms and models from theory to practice ensuring their scalability efficiency and performance.
Experimentation and Evaluation: Conduct thorough experiments and evaluations of NLP models to determine their effectiveness and identify areas for improvement.
Model Optimization and Deployment: Optimize and deploy NLP models for production-ready use cases ensuring their reliability and maintainability.
Knowledge Sharing and Collaboration: Collaborate with the research team to share knowledge best practices and research results.
Staying Up-to-Date: Stay current with the latest developments in NLP research and industry trends.
Documentation and Communication: Write technical reports papers and documentation to communicate research results and best practices.
Mentorship and Training: Mentor and train junior researchers and engineers to develop their NLP skills.

Required skills:

Strong background in NLP including language understanding text processing and machine learning.
Proficiency in one or more programming languages (e.g. Python Java C R).
Familiarity with NLP frameworks and toolkits (e.g. PyTorch TensorFlow spaCy NLTK).
GenAI Skills and Tools: RAG Quantization LLM-fine tuning Parameter Efficient Fine-tuning (PEFT) using LoRA/QLoRA LangChain LangGraph/AutoGen/CrewAI.
MLOps: Atleast one of MLFlow DVC Wandb Airflow.
Strong knowledge of machine learning and deep learning concepts including supervised and unsupervised learning methods.
Research experience with publication(s) in top-tier NLP conferences.
Excellent problem-solving and analytical skills with a strong ability to design and implement solutions.
Strong communication and collaboration skills with the ability to effectively communicate technical research and ideas to both technical and non-technical stakeholders.

Qualifications :

1. 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)

Additional Information :

3-5 years of experience.

Remote Work :

Employment Type :

Full-time

Roles & Responsibilities:Research and Development: Design develop and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks.Algorithm Engineering: Implement NLP algorithms and models from theory to practice ensuring their scalability efficiency and pe...

Roles & Responsibilities:

Research and Development: Design develop and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks.
Algorithm Engineering: Implement NLP algorithms and models from theory to practice ensuring their scalability efficiency and performance.
Experimentation and Evaluation: Conduct thorough experiments and evaluations of NLP models to determine their effectiveness and identify areas for improvement.
Model Optimization and Deployment: Optimize and deploy NLP models for production-ready use cases ensuring their reliability and maintainability.
Knowledge Sharing and Collaboration: Collaborate with the research team to share knowledge best practices and research results.
Staying Up-to-Date: Stay current with the latest developments in NLP research and industry trends.
Documentation and Communication: Write technical reports papers and documentation to communicate research results and best practices.
Mentorship and Training: Mentor and train junior researchers and engineers to develop their NLP skills.

Required skills:

Strong background in NLP including language understanding text processing and machine learning.
Proficiency in one or more programming languages (e.g. Python Java C R).
Familiarity with NLP frameworks and toolkits (e.g. PyTorch TensorFlow spaCy NLTK).
GenAI Skills and Tools: RAG Quantization LLM-fine tuning Parameter Efficient Fine-tuning (PEFT) using LoRA/QLoRA LangChain LangGraph/AutoGen/CrewAI.
MLOps: Atleast one of MLFlow DVC Wandb Airflow.
Strong knowledge of machine learning and deep learning concepts including supervised and unsupervised learning methods.
Research experience with publication(s) in top-tier NLP conferences.
Excellent problem-solving and analytical skills with a strong ability to design and implement solutions.
Strong communication and collaboration skills with the ability to effectively communicate technical research and ideas to both technical and non-technical stakeholders.

Qualifications :

1. 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)

Additional Information :

3-5 years of experience.

Remote Work :

Employment Type :

Full-time

Key Skills

Robotics
Machine Learning
Python
AI
C/C++
OS Kernels
Research Experience
Matlab
Rust
Research & Development
Natural Language Processing
Tensorflow

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About Company

Bosch Group

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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