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Job Description & How to Apply Below
What your typical day would look like? Weʼre 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.
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