Data scientist

Aziro

7 - 12 years

11 - 12 Lacs

bengaluru

Posted:14 hours ago| Platform:

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Skills Required

kubernetes scikit-learn nltk aks numpy eks artificial intelligence tensorflow postgresql gcp devops pytorch keras mysql api xgboost mongodb oauth ml lightning rest python dynamo db glm microsoft azure huggingface nosql pandas terraform aws flask

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI/ML Model Development & Optimization Build and optimize models using PyTorch, TensorFlow, and cutting-edge ML frameworks
Apply prompt engineering and fine-tuning techniques to foundation models (eg, GPT-4, Claude, Llama)
Deliver NLP solutions: classification, summarization, sentiment analysis, entity extraction, conversational AI, and generative workflows
Architect Retrieval-Augmented Generation (RAG) pipelines using vector databases, smart chunking, ranking, and caching
Develop multi-agent systems for task planning, decomposition, and tool orchestration
MLOps & Productionization Implement robust MLOps pipelines: CI/CD, model monitoring, feature stores, and governance
Ensure reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI compliance
Optimize inference performance and design rollback strategies for production resilience
Performance, Security & Compliance Ensure AI solutions meet security, compliance, and performance benchmarks
Integrate external APIs with cost-aware and latency-optimized strategies
Maintain observability and traceability across deployed systems
Stakeholder Engagement & Strategic Roadmapping Translate business goals into scalable technical architectures
Communicate risks, metrics, and impact to executives and cross-functional stakeholders
Create design diagrams, runbooks, and model cards; lead workshops and technical deep-dives
Technology StackProgramming & Frameworks Expert: Python Libraries: Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, NLTK, Frameworks: PyTorch, TensorFlow/Keras, Hugging Face, LangChain, LlamaIndex, Ray, PyTorch Lightning, FastAPI, Flask API Integration: RESTful APIs, OAuth, API keys, paginationCloud & DevOps Cloud: AWS, GCP, Azure Containers: Docker Orchestration: Kubernetes (EKS/GKE/AKS) IaC (nice-to-have): Terraform, CloudFormationMLOps Tools Experiment Tracking: DVC, Weights &
Biases, Neptune, TensorBoard Feature Stores, Model Registry, CI/CD pipelinesDatabases Relational: PostgreSQL, MySQL NoSQL: MongoDB, DynamoDB Vector Stores: FAISS, pgvector, Pinecone, OpenSearch, Milvus, WeaviateRAG & Multi-Agent Systems Components:
Document loaders, semantic splitters, embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, Cross-Encoder rerankers Frameworks: Crew AI, AutoGen, LangGraph, MetaGPT, Haystack AgentsSecurity & Compliance Secure AI development, privacy-preserving techniques, bias detection, model explainabilityLeadership & Pre-Sales Experience Proven success in shipping ML products at scale
Lead client workshops, technical discovery, and early-stage solutioning
Support pre-sales by identifying scalable patterns and architectural differentiators

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