Jobs → Engineering → Applied AI Engineer

About the Role We are looking for an experienced Applied AI Engineer to join our team and build scalable AI/ML solutions in cloud environments. Key Responsibilities • Design, develop, and deploy machine learning and advanced analytics solutions. • Build production-ready AI/ML applications using Python and cloud technologies. • Develop and integrate REST APIs, microservices, and cloud-based applications. • Build data pipelines and workflows supporting machine learning and analytics. • Deploy and manage ML models using MLOps, CI/CD, Docker, and Kubernetes. • Collaborate with data scientists, software engineers, cloud engineers, and business stakeholders. • Work on emerging technologies including Generative AI, LLMs, and RAG. Requirements • Strong experience as an ML Engineer / Applied AI Engineer. • Strong hands-on Python development experience. • Expertise in Machine Learning and Advanced Analytics. • Experience with AWS, Azure, or GCP. • Experience with Scikit-learn, TensorFlow, PyTorch, or similar ML frameworks. • Strong knowledge of SQL, data processing, ETL/ELT, and analytics. • Experience with REST APIs and microservices. • Knowledge of MLOps, Docker, Kubernetes, and CI/CD. • Experience with Generative AI / LLM / RAG is highly preferred. • Strong analytical, problem-solving, and communication skills.