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