Data Scientist

Siemens Mobility; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Siemens Technology and Services Private Limited seeks a Data Scientist with 4–6 years of AI/ML experience to build production-grade models and RAG pipelines. You will create scalable data pipelines, deploy on AWS/Azure/GCP, and implement MLOps across cloud platforms while adhering to security and governance standards.

The role emphasizes GenAI, agentic AI workflows, and collaboration with DevOps teams to deliver reliable, compliant AI solutions in a complex enterprise environment.

Qualifications

• Strong proficiency in Python for AI/ML and backend development.
• Proven experience with LangChain, LangGraph, and vector databases.
• Deep understanding of Generative AI models, prompt engineering, and GenAI workflows.
• Hands-on experience with Agentic AI design patterns and orchestration.
• Proficiency with Databricks, MLflow, and cloud services across AWS, Azure, and GCP.
• Familiarity with MLOps, CI/CD, and DevOps tools (GitLab, Docker, Kubernetes).
• Knowledge of cloud AI services and scalable deployment architectures.
• Strong grasp of data security, compliance, and governance in AI systems.
• Familiarity with NLP techniques
• Familiarity with Deep learning frameworks
• Familiarity with Knowledge Graph

Responsibilities

• 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 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).

Skills

Python for AI/ML

NLP techniques

Deep learning frameworks

Agentic AI design patterns

Education

Bachelor’s or Master’s in Computer Science, Data Science, or related field

Tools

LangChain

LangGraph

FAISS

Pinecone

Weaviate

Databricks

MLflow

GitLab

Docker

Kubernetes

Job description

Siemens Technology and Services Private Limited

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‑gra de 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

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‑makin g, 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 C lassification, 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 for AI/ML and backend development.
• Proven experience with LangChain, LangGraph, and vector databases.
• Deep understanding of Generative AI models, prompt engineering, and GenAI workflows.
• Hands‑on experience with Agentic AI design patterns and orchestration.
• Proficiency with Databricks, MLflow, and cloud services across AWS, Azure, and GCP.
• Familiarity with MLOps, CI/CD, and DevOps tools (GitLab, Docker, Kubernetes).
• Knowledge of cloud AI services and scalable deployment architectures.
• Strong grasp of data security, compliance, and governance in AI systems.
• Familiarity with NLP techniques
• Familiarity with Deep learning frameworks
• Familiarity with Knowledge Graph

Soft Skills & Competencies

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• Certifications in AWS (e.g., ML Specialty), Azure (e.g., DP-100), or GCP (e.g., Professional ML Engineer).
• Experience working in regulation

Decision-Makin g & Ownership

• Responsible for technical decisions within assigned components or topics.
• Evaluates trade‑offs across performance, scalability, robustness, and cost.
• Works independently while aligning with architectural and organizational guidelines

Create a better #TomorrowWithUs!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.