AI/ML Engineer

Responsibilities Design, build, and deploy end-to-end AI/ML models and scalable architectures.Develop and integrate intelligent automation workflows to streamline business operations.Collaborate with cross-functional teams to identify use cases and translate requirements into AI solutions.Optimize machine learning pipelines for performance, scalability, and latency.Monitor, evaluate, and fine-tune model accuracy and reliability in production. Requirements 3+ years of hands-on experience in AI/ML development and production deployment.Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).Experience in building and integrating LLM applications, LangChain, or agentic workflows.Solid understanding of REST APIs, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines.Strong problem-solving skills and experience working in remote teams. Benefits 100% Remote work culture and flexible schedule.Competitive compensation and performance incentives.Opportunities to work on cutting-edge AI and automation projects.Professional development and learning support.