Research Engineer - NLP

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:

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.