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Data Scientist AI/ML @ Aziro

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Aziro  Data Scientist AI/ML

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 & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: Aziro
Location(s): Bengaluru

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Keyskills:   Computer science NoSQL Architecture Postgresql MySQL Machine learning Presales MongoDB Monitoring Python

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Aziro

About Aziro: Aziro is a trusted partner in Software Product Engineering Services and Digital Transformation projects, serving Fortune 100 companies, Silicon Valley-based ISVs, and global enterprises. Clientele & Global Presence: As an ISO 27001 and Great Place To Work Certified™ company,...