Hello eager tech expert
We are seeking a highly skilled and cutting-edge 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 new 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
• St
📌 Data Scientist (India)
🏢 Siemens
📍 India