Lead Engineer - IT

1 day ago

Chennai, IndiaStaff+

Responsibilities

Build end-to-end machine learning solutions for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
Perform feature engineering, experimentation, hyperparameter tuning, model evaluation, validation, explainability, monitoring, and retraining.
Develop LLM-powered applications, RAG systems, AI copilots, intelligent assistants, and agentic workflows.
Implement prompt engineering, prompt optimization, evaluation frameworks, structured output generation, and guardrails.
Develop production-grade AI services, APIs, SDKs, reusable components, shared libraries, and microservices.
Design scalable APIs and event-driven architectures using AWS services and containerized deployments.
Perform data extraction, transformation, exploratory analysis, and business insight generation using SQL and large-scale datasets.
Apply software engineering practices including object-oriented design, design patterns, SOLID principles, clean coding, version control, code reviews, and release management.

Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field.
4-8 years of experience in AI/ML or data science roles.
Strong hands-on Python experience for production-grade AI and machine learning applications.
Strong SQL and data analysis skills with experience handling structured and semi-structured datasets.
Expertise in machine learning algorithms including classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.
Experience with Scikit-Learn, XGBoost, LightGBM, and CatBoost.
Practical NLP and deep learning experience using TensorFlow or PyTorch, including transformers, embeddings, semantic search, summarization, information extraction, and conversational AI.
Hands-on experience building enterprise-grade generative AI applications using LLMs, prompt engineering, RAG, and agentic workflows.
Experience with LangChain or LangGraph and with designing APIs, microservices, SDKs, and reusable AI components.
Working knowledge of AWS services including EKS, SNS, SQS, Lambda, S3, and API Gateway, plus Docker-based deployment.
Preferred experience includes Apache Spark, CrewAI or similar multi-agent frameworks, OpenSearch, pgvector, knowledge graphs, GraphRAG, Kafka, and event-driven architectures.

The position can be based in Chennai.
Current Guardian colleagues should apply through the internal Jobs Hub in Workday.

10,000+ employees