Senior Engineer - IT

1 day ago

Chennai, IndiaMid Level / Senior

Responsibilities

Build, evaluate, monitor, and support retraining of production machine learning models for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
Perform feature engineering, experimentation, hyperparameter tuning, model validation, explainability, and A/B testing.
Develop LLM-powered applications, RAG systems, AI copilots, intelligent assistants, and agentic workflows.
Implement prompt engineering, prompt optimization, evaluation frameworks, structured outputs, and guardrails.
Design and develop production-grade AI services, REST APIs, SDKs, reusable components, microservices, and event-driven architectures.
Deploy scalable, cloud-native AI applications using AWS services, Docker, and EKS.
Use Git and collaborative development practices including code reviews, branching strategies, 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 Python programming experience for production-grade AI and machine learning applications, including APIs, automation frameworks, and reusable services.
Strong SQL and data analysis skills with experience processing large-scale structured and semi-structured datasets.
Expertise in machine learning algorithms, feature engineering, model evaluation, hyperparameter tuning, cross-validation, and explainable AI.
Hands-on 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, agentic workflows, and evaluation frameworks.
Experience with LangChain or LangGraph and with RESTful APIs, microservices, object-oriented programming, design patterns, and SOLID principles.
Working knowledge of AWS services including Amazon EKS, SNS, SQS, Lambda, S3, and API Gateway, plus Docker containerization.
Preferred experience includes Apache Spark, CrewAI or similar multi-agent frameworks, OpenSearch or pgvector, knowledge graphs, GraphRAG, Kafka, and event-driven architectures.

10,000+ employees