Cloud Engineer

Job Description

Must have Skills : Microsoft Azure Artificial Inteligence and Machine Learning (Strong), Terraform (Expert), Decision Making

Good To Have Skills : Kubernetes (Capable), Job Description : Responsibilities: - Design, develop, and deploy machine learning AI solutions. - Collaborate with data scientists, software engineers, and product managers to integrate AI capabilities into applications. - Operationalize AI and GenAI models, ensuring scalability, reliability, and performance. - Design and implement GenAI solutions on cloud platforms such as Azure and AWS. - Conduct experiments, analyze results, and iterate on models to improve performance. - Stay current with advancements in AI/ML technologies and best practices. Skills: - Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. - Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Experience with DevOps principles, automation and CI/CD - Proficiency in programming languages such as Python, - Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. - Experience in building single agent and multi agent systems (agentic systems) - Experience with genAI orchestration framework such LangChain, LangGraph,crewAI, etc. - Experience with governance, observability and evaluation tools (e.g. langfuse, langsmith) - Knowledge of cloud platforms and services for AI/ML, including Azure Machine Learning, AWS SageMaker, and Google AI Platform. - Familiarity with data preprocessing, feature engineering, and model evaluation techniques. - Understanding of deep learning, natural language processing, and computer vision. - Strong problem-solving skills and attention to detail. Qualifications: - Bachelor's degree in Computer Science, Data Science, or a related field. - 7+ years of experience in Machine Learnig, AI, related field - Banking Experience is a plus