What you'll do :

• Lead the development of AI/ML models and solutions tailored to business needs across multiple domains.
• Apply well-known algorithms (e.g., decision trees, neural networks, reinforcement learning, clustering, and NLP techniques) to various business problems.
• Develop solutions that analyze BRDs and generate detailed test scenarios/test cases, including edge cases and negative testing.
• Collaborate on AI-driven projects across different verticals, such as predictive analytics, optimization, fraud detection, and personalized recommendations.
• Extract functional and non-functional requirements from BRDs and apply insights to AI solutions and testing processes.
• Design and implement comprehensive testing strategies, including automated testing solutions.
• Develop and deploy AI solutions across multiple cloud platforms (AWS, GCP, Azure) as required.
• Work closely with stakeholders across teams to align AI solutions with project goals.
• Research and implement cutting-edge AI technologies and techniques to enhance the AI capabilities within the organization.
• Leverage test automation and other development tools to enhance workflows and optimize processes.
• Mentor junior engineers, lead AI development teams, and ensure best practices are followed.

What makes you a great fit :

• Expertise in building AI models using frameworks like TensorFlow, PyTorch, AWS SageMaker, or similar tools.
• Deep understanding of well-known AI/ML algorithms such as Supervised and unsupervised leaning, deep learning, NLP algorithms and reinforcement learning.
• Experience in automating test case generation from BRDs and defining test strategies.
• Strong experience with AWS services (e.g., SageMaker, Lambda, S3) and cross-cloud environments
• Experience in ETL, data processing, and working with large datasets (e.g., structured/unstructured data).
• Experience with test automation tools like Selenium, TestNG, or similar.
• Proficiency with continuous integration/continuous deployment (CI/CD) and tools like Jenkins, Docker, Kubernetes