NLP Developer - Bangalore/Any Location, India - Mount Talent Consulting

Description

Exp : 2+ Years

Work Mode : Remote

Notice : :

- 2+ years of experience in software development.

- Demonstrated ability to design customer focused, architecturally robust solutions that provide best-in-class software experiences for our users.

- In-depth programming knowledge of Python and Django (proficiency must have)

- Prior experience in developing a SaaS platform (a plus)

- Prior experience in NLP engineering and building ML models (preferred)

- Prior experience in working with SQL/NoSQL databases is a strong plus

- Tech architecture/DevOps background is preferred, not mandatory

- Basic understanding of LLMs, RLHF, transformers, embeddings (preferred)

- Strong understanding of Test Automation and integration of Testing with the development process

- Champion of an engineering culture that emphasizes QA, Agile, DevOps, and CI/CD

- A pragmatic problem-solver who can identify the essence of a problem and deliver simple, elegant solutions to that problem.

- Hustle attitude to be able to deliver and work on several products/features at the same time.

- Proficiency with distributed systems built on cloud infrastructure (Azure, AWS)

What is in it for you :

- Opportunity to work in a disruptive first of its kind platform in the Generative AI-SAAS space

- Grow with us as we scale up, opportunity to build a startup from the very early days, define and drive across all elements of our tech architecture

- Compensation and ESOPs commensurate for a founding member

- Strong learning curve across NLP, ML models, LLM ops, DevOps

Roles & Responsibilities :

Design, develop, and implement backend APIs that integrate NLP functionalities.

Utilize NLP techniques (e.g., text classification, sentiment analysis, named entity recognition) to extract meaningful insights from data.

Develop and maintain machine learning models for NLP tasks, ensuring accuracy and efficiency.

Integrate NLP models with backend systems using appropriate frameworks and libraries.

Collaborate with frontend developers and data scientists to ensure smooth integration and functionality.

Write clean, maintainable, and well-documented code adhering to best practices for both backend development and NLP. Perform unit and integration tests to guarantee code quality and reliability.

Debug and troubleshoot backend and NLP-related issues.

Stay up-to-date with the latest advancements in backend technologies and NLP research.