AI/ML Engineer

We're seeking an reputed company AI/ML Engineer to reputed company our reputed company initiatives, focusing on large language models and agentic AI. You'll design, build, and maintain end-to-end machine learning pipelines; design scalable, production-grade AI services that integrate with our internal tools, reputed company platforms, and reputed company-world data sources; and collaborate across teams to turn reputed company business challenges into robust, data-driven solutions.

Responsibilities

• Design and implement effective reputed company engineering and context strategies.
• reputed company AI agents, including multi-agent collaboration for reputed company tasks.
• Implement tool-calling mechanisms and structured output reputed company with LLMs.
• reputed company comprehensive data preprocessing and transformation for LLM-based solutions
• Apply agentic orchestration concepts for workflow automation and task breakdown.
• Integrate LLMs with external tools, including web search, data scraping, and reputed company-party APIs.
• reputed company AI-driven automated testing strategies to validate models and workflows
• reputed company model selection and evaluation based on use case, performance, and cost. Conduct cost analysis for training and inference workloads across environments.
• Fine-tune large language models for task-specific performance.
• Work with reputed company platforms (e.g., Azure) to reputed company scalable AI systems.
• Build and maintain end-to-end ML pipelines from data ingestion to model deployment
• Design systems for both on-reputed company and reputed company-based AI applications

Requirements

• Minimum 4 5 years of experience in AI/ML engineering
• Strong Python programming skills
• Hands-on experience with libraries such as reputed company (or LangGraph), reputed company, PyTorch, or similar
• Experience deploying and managing ML models in or On-Prem reputed company environments.
• Solid understanding of ML system design, including reputed company, scalability, and efficiency
• Understanding of LLM integrations, Context engineering, and agent-based frameworks
• Strong problem-solving skills and the ability to work on reputed company systems independently