Senior Data Scientist

SAAP Technologies; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

SAAP Technologies is seeking a Senior Data Scientist with deep expertise in Generative AI, LLMs and Retrieval-Augmented Generation to design, build and productionize scalable ML solutions. You will own the ML lifecycle from data prep to deployment, establish robust MLOps practices and drive model governance in a security‑first environment.

The ideal candidate has 7+ years of experience, strong Python and ML framework skills (PyTorch/TensorFlow), and familiarity with distributed training and

Qualifications

• 7+ years of relevant experience in data science or ML engineering.
• Strong background in Generative AI, LLMs and Retrieval-Augmented Generation (RAG).
• Hands-on MLOps and ML engineering experience; able to productionize models.

Responsibilities

• Design, develop and productionize ML, Generative AI and RAG solutions.
• Manage the complete ML lifecycle from data preparation through deployment and monitoring.
• Build and optimize MLOps pipelines; ensure governance, reproducibility and scalability.
• Integrate AI solutions into production systems and monitor drift and performance.

Skills

Generative AI

LLMs

RAG

MLOps

Python

PyTorch

TensorFlow

distributed training

cloud platforms

vector databases

Tools

MLflow

Kubeflow

Airflow

Pinecone

Weaviate

FAISS

PyTorch

TensorFlow

Transformers

Diffusion Models

AWS

Azure

GCP

Job description

# Senior Data ScientistLocationHyderabad / PuneExperience7+ YearsEmploymentcontract#### Position DescriptionWe are looking for a Senior Data Scientist with strong expertise in Generative AI, RAG and productionizing advanced machine learning models. The role combines AI engineering, MLOps and technical leadership to build scalable, reliable and secure AI solutions.**Key Responsibilities:**• Design, develop and productionize ML, Generative AI and RAG solutions.• Manage the complete ML lifecycle from data preparation through deployment and monitoring.• Build and optimize MLOps pipelines.• Implement model governance, reproducibility and scalability practices.• Integrate AI solutions into production systems.• Mentor Data Scientists and ML Engineers.• Evaluate emerging AI technologies and frameworks.• Monitor model drift, bias and performance degradation.• Promote responsible AI and security-first practices.**Requirements:**• 7+ years of relevant experience.• Strong experience with Generative AI, LLMs and RAG.• Hands-on MLOps and ML Engineering experience.• Strong Python and PyTorch/TensorFlow skills.• Experience with distributed training and cloud platforms.• Experience with vector databases and retrieval systems.**Nice to Have:**Experience with model governance, AI monitoring, responsible AI, cloud AI platforms and emerging Generative AI frameworks.#### Technology StackPythonGenerative AILLMsRAGTransformersDiffusion ModelsPyTorchTensorFlowMLOpsMLflowKubeflowAirflowAWSAzureGCPVector DatabasesPineconeWeaviateFAISS