Data Scientist - LLM & AI

Description:

Job Description: Data Scientist

Role Overview :
We are seeking a highly motivated Data Scientist with strong experience in both classical machine learning and modern AI techniques, particularly Large Language Models (LLMs), to enhance and scale AI-driven capabilities across our products. This role involves working closely with engineering, product, and business teams to design, build, deploy, and optimize intelligent systems in a production environment.

Key Responsibilities :

- Design, develop, and implement AI solutions leveraging LLMs, vector embeddings, and Retrieval-Augmented Generation (RAG) approaches

- Build, train, evaluate, and optimize machine learning models for classification, regression, and predictive analytics

- Deploy machine learning and AI models into production environments, ensuring scalability, performance, and reliability

- Integrate AI models and services into applications built using Node.js and ReactJS

- Use TypeScript to extend and enhance AI capabilities within the existing application ecosystem

- Work with structured and unstructured data, including text-heavy datasets, to extract meaningful insights

- Conduct data exploration, feature engineering, and experimentation to improve model accuracy and system performance

- Monitor model performance post-deployment and implement improvements as required

- Collaborate closely with frontend, backend, DevOps, and product teams to deliver end-to-end AI solutions

- Contribute to documentation, best practices, and knowledge sharing within the team

- Stay updated with emerging trends in AI, machine learning, and generative AI technologies

Required Skills & Experience :

- Strong hands-on experience with Large Language Models (LLMs), vector databases, embeddings, and RAG

frameworks

- Solid foundation in classical machine learning techniques, including classification and regression

- Experience in model deployment, versioning, and lifecycle management

- Proficiency in TypeScript, with the ability to work in Node.js-based applications

- Experience integrating AI solutions into web-based applications

- Strong analytical and problem-solving skills

- Ability to work effectively in cross-functional engineering teams

- Experience working in an Agile or fast-paced development environment

Good to Have :

- Experience with Python-based ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)

- Familiarity with MLOps practices, CI/CD pipelines, and cloud-based deployments

- Experience with vector databases (e.g., Pinecone, FAISS, Weaviate, or similar)

- Exposure to cloud platforms such as AWS, Azure, or GCP

- Knowledge of data pipelines, ETL processes, and data engineering fundamentals

- Understanding of AI ethics, data privacy, and responsible AI practices

Ideal Candidate Profile :

- Strong passion for AI and data-driven problem solving

- Comfortable working across both research and production environments

- Able to translate business problems into effective AI solutions

- Curious, self-driven, and eager to experiment with emerging AI technologies

- Strong communication skills with the ability to explain complex concepts to non-technical stakeholders