Senior AI/ML Engineer 5+ YOE

Senior AI/ML Engineer Experience: 5 - 8 years No. of Positions: 4 Duration: 3-6 months Primary Skills AI/ML such as AWS/Azure/GCP Solutions Architect TOGAF Certified Kubernetes Administrator with exposure to Lean Six Sigma About the role We are looking for a Senior AI/ML Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications. The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success. What You Bring

• You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.
• You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.
• You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.
• You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.
• You understand APIs, microservices, distributed systems, containerization, and modern integration patterns.
• You have experience using AI-assisted development tools and engineering productivity accelerators.
• You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution.
• You understand secure engineering principles, data privacy considerations, and enterprise governance expectations.
• You are a structured problem solver with strong communication and stakeholder management skills. Good to have skills / qualifications
• Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments.
• Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices.
• Experience working within banking, fintech, payments, or other highly regulated industry environments.
• An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.
• Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage.
• Experience leading engineering transformation, automation initiatives, or enterprise modernization programs.
• Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.