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Aziro - Technical Lead - Artificial Intelligence / Machine Learning
AZIRO TECHNOLOGIES INDIA PRIVATE LIMITEDChennai30+ days ago
Job descriptionDevelop, 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. 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. 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. 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. 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 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 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. 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.
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
3. MLOps & Productionization
5. Performance, Security, and Compliance
6. Stakeholder Engagement & Roadmapping
Technology Stack
Cloud & DevOps :
Leadership & Pre-Sales Experience :
Qualifications :
(ref : hirist.tech)
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Technical Lead • Chennai
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