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About the role
AI Engineer (5-8+ Years Experience) Role Summary We are looking for a Senior AI/ML Engineer with strong experience in GenAI, ML systems, and agentic AI solutions to design, build, and operate scalable, production grade AI solutions for complex business problems. Key Responsibilities Design, develop, and deploy scalable, secure GenAI and Agentic AI using structured and unstructured data. Analyze large datasets in Snowflake and build features for ML pipelines. Apply ML, deep learning, NLP, time series, and statistical techniques to real world use cases. Own end to end ML pipelines : data ingestion, preprocessing, training, tuning, deployment, and monitoring. Build and maintain agentic AI systems using LLMs to automate complex workflows. Implement MLOps, AI observability, and monitoring for model performance, drift, and reliability. Collaborate with data engineers, product teams, and business stakeholders to integrate AI into workflows. Provide technical leadership, guidance, and stakeholder support throughout project delivery. Required Qualifications 7+ years of experience in AI/ML engineering or applied machine learning. Strong expertise in Python , ML frameworks, and GenAI/LLMs. Hands on experience with production ML systems and MLOps . Experience working with Snowflake and cloud data platforms will be plus Strong communication and stakeholder collaboration skills.
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