Research Engineer - NLP

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.

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

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

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

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

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

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

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

Required 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.

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.