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Aziro - Technical Lead - Artificial Intelligence / Machine Learning

AZIRO TECHNOLOGIES INDIA PRIVATE LIMITEDNoida

30+ days ago

Job description

AI / ML Lead

Exp : 10+ yrs

Location : Any Aziro Location

Artificial Intelligence & Machine Learning Tech Lead

Role Summary :

We are seeking a seasoned Artificial Intelligence & Machine Learning (AI / ML) Tech Lead to drive the technical design, development, and deployment of AI solutions including fine-tuning foundation models, building agentic applications, and implementing production-grade Retrieval-Augmented Generation (RAG) pipelines.

This role requires close collaboration with pre-sales teams, account delivery managers, solution architects, and enterprise clients to define and deliver AI solutions tailored to business needs.

The ideal candidate will provide hands-on technical leadership throughout the AI / ML lifecycle leading proof-of-concept (POC) efforts, conducting solution demos, and overseeing production-grade implementations. They will also mentor engineering teams, enforce best practices, and ensure the successful delivery of AI initiatives

Key Responsibilities :

1. Lead Technical Delivery & Mentorship :

Lead and mentor a team of 610 engineers; establish coding standards, conduct design and PR reviews, and drive continuous improvement.
Foster a culture of knowledge-sharing through KT Sessions, documentation, and best-practice guides.

2. AI / ML Model Development & Optimization

Develop, fine-tune, and optimize models using PyTorch, TensorFlow, and modern ML frameworks.

Apply prompt engineering and advanced techniques to foundation models (e.g., GPT-4, Claude, Llama).

Deliver NLP solutions such as document classification, sentiment analysis, summarization, entity extraction, conversational AI, and generative content / workflow automation.

Design and implement RAG workflows leveraging vector databases, smart chunking, ranking, and caching for accurate, grounded responses.

Build multi-agent systems for task decomposition, planning, and tool usage in complex environments.

3. MLOps & Productionization

Implement MLOps best practices : CI / CD pipelines, model monitoring, feature stores, lineage, and governance.

Ensure model reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI practices.

Optimize inference throughput / latency and ensure robust rollback strategies.

5. Performance, Security, and Compliance

Ensure security, compliance, and performance of AI solutions, adhering to industry standards and regulations.

Integrate with external APIs, optimize for cost / latency, and manage observability.

6. Stakeholder Engagement & Roadmapping

Translate business objectives into technical designs; communicate risks, metrics, and impact to executives and stakeholders.

Produce design diagrams, runbooks, and model cards; lead knowledge-sharing sessions and workshops.

Technology Stack

Programming Languages & Frameworks

Python (expert)

JavaScript / Go / TypeScript (nice-to-have)

Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch.

PyTorch, TensorFlow / Keras, Hugging Face Transformers / PEFT, LangChain / LlamaIndex, Ray / PyTorch Lightning, FastAPI / Flask

Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination

Cloud & DevOps :

Expertise in one or more cloud vendors like AWS, GCP, Azure

Containers (Docker), Orchestration (Kubernetes, EKS / GKE / AKS)

Infrastructure as Code (nice to have)

MLOps

Experiment Tracking : DVC, Weights & Biases, Neptune, TensorBoard etc

Databases

Relational : PostgreSQL, MySQL

NoSQL : MongoDB / DynamoDB

Vector Stores : FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate

RAG Components

Document loaders / parsers, text splitters (recursive / semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid / BM25 retrievers, rerankers (Cross-Encoder)

Multi-Agent Frameworks

Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns

Testing & Quality

Unit / integration testing (pytest), guardrails, hallucination tests, behavioral evals

Security & Compliance

Leadership & Pre-Sales Experience :

Proven track record shipping ML products at scale

Lead client workshops, technical discovery, and early-stage assessments.

Support business development by identifying architectural differentiators and scalable patterns.

Qualifications :

10 to 12 years of experience in software engineering / data science, with 4+ years leading AI / ML projects end-to-end.

Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field.

Certifications preferred : AWS Certified Machine Learning / Google Professional Machine Learning

Engineer / Azure AI Engineer Associate and Kubernetes CKA / CKAD.

Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus.

(ref : hirist.tech)

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Technical Lead • Noida

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