Data Scientist-LLM Engineer/Developer

Data Scientist-LLM Engineer/Developer

20 Oct
|
RandomTrees
|
Alwar

20 Oct

RandomTrees

Alwar

Immediate #HIRING for a highly motivated and experienced Data Scientist LLM Engineer /Developer to join our growing team.

We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies.

If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume at

About the Role:

Experience: 4Yrs to 7Yrs Max

Location: Remote/Hybrid

Notice Period: Immediate or Max 15 Days

Employment Type: Full-Time

As an LLM Engineer/Developer, you will be a crucial part of our AI development team, responsible for designing, implementing, and optimizing large language models.





You will work closely with data scientists, researchers, and other engineers to develop state-of-the-art NLP applications. ​

Roles & Responsibilities: ​

- Model Development : Design, implement, and train large language models to address various NLP tasks such as text generation, summarization, translation, and more.​
- Optimisation : Optimize model performance through techniques like pruning, quantization, and distillation to ensure efficiency and scalability.​
- Research and Innovation : Stay up-to-date with the latest advancements in the field of NLP and LLMs, and integrate new techniques and methodologies into our models.​
- Data Management : Work with large datasets to preprocess and clean data, ensuring high-quality input for model training and evaluation.​
- Collaboration : Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions.​
- Documentation and Reporting :





Maintain comprehensive documentation of model architecture, training procedures, and performance metrics. Communicate findings and improvements effectively to stakeholders.​
- Deployment : Assist in the deployment of models into production environments, ensuring seamless integration and functionality.​

Qualifications: ​

- Educational Background : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.​
- Experience : Proven experience in developing and deploying large language models. Experience with frameworks like TensorFlow, PyTorch, or similar. Good to have experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).​
- Technical Skills : Proficiency in programming languages such as Python.





Strong understanding of NLP techniques and machine learning algorithms, Opensource LLMs. Good to have familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).​
- Cloud: Must have AWS / Azure or MLflow hands-on experience in deploying models in the cloud environment, familiar with cloud PLM.​

Note: If your profile is right fit to the current requirement, will get you in touch soon please be available for calls.

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