Data Scientist AI/ML
- Aziro
- 7 - 8 years
- Bengaluru
- 11 days ago
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Job Description
- Role Overview We re seeking a seasoned Data Scientist with deep expertise in AI/ML and a proven track record of delivering scalable solutions.
This role blends hands-on model development with strategic leadership, enabling you to shape the future of intelligent systems across NLP, GenAI, and MLOps. Key Responsibilities 1.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 (e.g., 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. 2. 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. 3. 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. 4. 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 Stack Programming & 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 pipelines
- Databases 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.
Qualifications
- 7-8 years in software engineering/data science, with 5+ years leading AI/ML projects.
- Bachelor s or Master s in Computer Science, AI, Data Science, or related field.
Preferred Certifications: AWS Certified Machine Learning Google - Professional ML Engineer Azure AI Engineer Associate Kubernetes CKA/CKADSoft Skills & Leadership Attributes Influential
- Communication: Translate complex ML concepts for non-technical audiences; strong storytelling and presentation skills.
- Mentorship Mindset: Inspire and coach cross-functional teams; foster psychological safety.
- Bias for Action: Rapid prototyping, iterative development, and production delivery.
- Critical Thinking: Hypothesis-driven experimentation, A/B testing, and data-informed decisions.
- Adaptability: Stay ahead of GenAI trends, tools, and emerging research.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: AziroLocation(s): Bengaluru+ View Contact
Keyskills: Computer science NoSQL Architecture Postgresql MySQL Machine learning Presales MongoDB Monitoring Python
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