Research Engineer - NLP
Research Engineer - NLP
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Roles & Responsibilities:
- Research and Development: Design develop and implement novel NLP algorithms and models to achieve stateoftheart 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 productionready 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 UptoDate: 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 LLMfine tuning Parameter Efficient Finetuning (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 toptier NLP conferences.
- Excellent problemsolving 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 nontechnical stakeholders.
Qualifications :
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 :
34 years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
