Hello eager tech expert

We are seeking a highly skilled and innovative Data Scientist with 4-6 years of experience in AI/ML development, backend services, and GenAI applications. The ideal candidate will have hands-on expertise in building production-grade solutions using LangChain, LlamaIndex, and vector databases, along with a strong foundation in cloud-native ML pipelines, MLOps, and Agentic AI systems across AWS, Azure, and GCP environments.

You’ll break current ground by

Develop and deploy AI/ML models using Python for analytical and backend service applications.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate).
Leverage Generative AI models (OpenAI, Anthropic, LLaMA) with advanced prompt engineering techniques.
Design and implement Agentic AI workflows using LangGraph, or custom orchestration logic for autonomous decision-making, fallback strategies, and multi-agent collaboration.
Build and manage data pipelines, feature stores, and ML lifecycle workflows using Databricks,



Azure, and AWS.
Deploy scalable solutions on AWS (Lambda, S3, Step Functions, IAM, CloudWatch), Azure (Functions, ML Studio, Monitor), and GCP (Cloud Functions, Dataflow, BigQuery).
Implement MLOps practices using MLflow, and CI/CD pipelines across cloud platforms.
Collaborate with DevOps teams using GitLab for version control, CI/CD, and infrastructure automation.
Ensure security and compliance in handling sensitive data across AI pipelines, adhering to standards like GDPR, HIPAA, and enterprise governance policies.
Leverage cloud-native AI services such as AWS Bedrock, SageMaker, Azure OpenAI, and GCP Vertex AI.
Proficiency in NLP techniques including (Embedding, Text Classification, Entity Extraction)
Proficiency in Deep Leaning Frameworks (PyTorch, TensorFlow)

You’re excited to build on your existing expertise, including:

Required Skills & Qualifications

Strong proficiency in Python

📌 Data Scientist (Bengaluru)
🏢 Siemens
📍 Bengaluru