AI ML Consultant - Technical Consultant

Remote, USA Full-time
Come grow with us! Wipro is seeking individuals who combine excellent AI ML Consulting and problem-solving skills with the ability to function effectively both as part of a team or on an individual basis to bring their talent to our team. Wipro is a leading, publicly traded, global IT solutions and services company with over 250,000 dedicated employees serving clients across multiple continents with over 130 locations in more than 65 countries. We offer a strong compensation package that includes competitive pay and day one benefits. Wipro also offers many opportunities for career advancement within our engaging and exciting culture. Location: Remote USA Work authorization: US Citizen or US Green Card Duration: Full-time (40 hours/ week) What you will be doing: Designs, builds, and deploys autonomous AI agents that can plan, reason, take actions, and interact with tools or systems. Job Description: The role also includes applying core machine learning (ML). techniques to support data-driven decision-making, model development, and integration of ML components within agentic workflows. This includes developing LLM-based agents, designing multi-agent systems, integrating external APIs/tools, improving reasoning capabilities, and ensuring reliability and safety of agent behavior in production. The engineer works across LLM orchestration, ML model development, prompt engineering, tool-calling frameworks, vector databases, and backend systems to create scalable, intelligent automation solutions. Roles and responsibilities include following: · Build and optimize AI agents using LLMs, ML models, and agent frameworks (LangChain, Microsoft Agent Framework, etc.). · Design, develop and execute Agentic AI capabilities from scratch · should be able to implement multi-agent orchestration · good understanding on Agent security, Guardrails and other NFR capabilities · Develop workflows where agents reason, plan, execute tasks autonomously, and make ML-driven decisions. · Implement tool calling, API integrations, memory systems, RAG pipelines, and ML inference workflows. · Design multi-agent and ML-enhanced collaboration systems for complex tasks. · Build, train, evaluate, and integrate ML models (classification, regression, clustering, etc.) into agent pipelines. · Monitor agent and ML model performance, safety, reliability, drift, and hallucination control. · Deploy agentic and ML systems into production using cloud and containerized infrastructure. · Work with engineering and product teams to deliver AI- and ML-powered automation features. Job Type: Full-time Pay: $90,000.00 - $100,000.00 per year Benefits: • 401(k) matching • Dental insurance • Employee discount • Flexible spending account • Health insurance • Health savings account • Life insurance • Paid time off • Referral program • Vision insurance Application Question(s): • Do you require future sponsorship or letter(s) to keep working in the USA? Yes or No. • How many years of experience do you have in the build and optimize AI agents using LLMs, ML models, and agent frameworks (LangChain, Microsoft Agent Framework, etc.). • How many years of experience do you have in the Design, develop and execute Agentic AI capabilities from scratch should be able to implement multi-agent orchestration Education: • High school or equivalent (Required) Experience: • Designs, builds, and deploys autonomous AI agents : 2 years (Required) Work Location: Remote Apply tot his job
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