DGM-Data Scientist

Role Overview

We are seeking a highly skilled Data Scientist to design, develop and deploy advanced AI solutions leveraging cutting-edge Generative AI technology.

The candidate should have hands-on experience in building Generative AI solutions using various Large Language Models, techniques such as RAG, Agentic AI and demonstrate expertise in querying and transforming structured datasets.

Proficiency in AWS cloud deployment is essential, ensuring scalable and secure AI solutions for enterprise applications.

Key Responsibilities


* Gen AI Development: Using and fine-tune generative AI models (LLMs, diffusion models, GANs, etc.) for text, image, and multimodal applications.

Built Gen AI solutions using LangChain, LangGraph for essential tasks like Chunking, Vectorization & Retrieval using Vector DB, Knowledge Augmentation using RAG and Agentic AI.



* Structured Data Querying & Processing: Develop robust data pipelines for structured data sources (SQL/NoSQL databases, data warehouses).

Write efficient queries and transformations for large-scale datasets, ensuring data quality and consistency for downstream AI/ML tasks.



* ML Engineering: Design, implement, and maintain robust ML pipelines for data ingestion, model training, validation, deployment, and monitoring.

Automate workflows using CI/CD tools, manage experiment tracking, and facilitate model versioning and rollback strategies.


* Feature Engineering: Prepare and preprocess large datasets for training and evaluation.


* Model Evaluation: Implement Observability of the AI solutions using tools like LangSmith, MLflow and monitor performance metrices to analyze performance and plan for enhancements


* Cloud Deployment: Deploy AI models on AWS services (SageMaker, Lambda, ECS, EKS) ensuring high availability and performance.


* Optimization: Implement model compression, inference optimization, and cost-efficient deployment strategies.


* DevOps & MLOps: Develop automated pipelines for training, testing, and deployment using AWS & Git Workflow CI/CD tools.

Identify retraining phase of AI models based on Model/Data/Concept Drift indicators.


* Research & Innovation: Stay updated on the latest advancements in generative AI and integrate them into business solutions.


* Collaboration: Work closely with the stakeholders to deliver AI-driven features.

Required Skills


* Strong proficiency in Python, LangChain, LangGraph, LangSmith, SciKit, Numpy, Pandas.


* Expertise in Generative AI techniques (LLMs, transformers, diffusion models, GANs, RAG, Agentic AI).


* Hands-on experience with AWS services: SageMaker, EC2, S3, Lambda, EKS/ECS, API Gateway, Bedrock.


* Experience with MLOps frameworks (Kubeflow, MLflow, Airflow) and automated ML pipelines.


* Familiarity with API development, microservices architecture and data security best practices.


* Strong understanding of data security and cloud best practices.


* Strong understand...