HamburgerMenu
hirist
showcase-imageshowcase-imageshowcase-image

Job Description

Description :

About the Role :


- What your typical day would look like We are looking for a talented and driven senior NLP practitioner to contribute to solving complex problems for our clients. You will contribute to both internal product development and client-focused projects, with a preference for Candidates who have experience in the pharma domain.

- Lead the design, development, and deployment of GenAI solutions, addressing challenges like hallucinations, bias, and latency, while ensuring performance and reliability.

- Collaborate with external and internal stakeholders, particularly in the pharma space, to understand business needs and create AI-powered systems tailored to their requirements.

- Lead full-lifecycle AI project delivery, including ideation, model fine-tuning, deployment, and continuous monitoring to maintain high performance in production environments.

- Apply advanced fine-tuning techniques (LoRA, PEFT) to Large Language Models (LLMs) for specific business needs, particularly in the pharma sector.

- Develop scalable pipelines to deploy AI models, including handling error management, robust monitoring, and retraining strategies.

- Mentor and lead a team of data scientists and AI engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications :


- 8-14 years of experience in Analytics space leading NLP and AI projects.

Required Skills :


- Expertise in Large Language Models (LLMs), Generative AI, and advanced fine-tuning techniques (LoRA, PEFT).


- Hands-on experience in deploying, scaling, and optimizing AI solutions for real-world business applications, with a focus on pharma-related use cases.

- Knowledge of AI-powered automation and working with LLM Agents, leveraging open-source frameworks.

- Proficiency in backend development with Python (Django/Flask) and experience with API and

microservices architecture.

- Hands-on experience in MLOps, CI/CD pipelines, and containerization tools like Docker and

Kubernetes.

- Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI deployments.

Preferred Skills :


- Experience in life sciences/pharma or similar regulated industries will be an added advantage.


info-icon

Did you find something suspicious?

Similar jobs that you might be interested in