AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : BTECH
Summary Are you an experienced software engineer looking to drive the technical direction of market leading (#1) software products. Join us to help develop our Returns product suite leveraging AI The ideal candidate has full-stack expertise in development, design, testing, and operations, with experience in scalable Cloud Native SaaS solutions. Platform experience is a plus. Roles and Responsibilities : Development: Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (C#, Java, Go etc.) AI Execution: Execute on the mission of AI integration across our product suite, including Generative AI, NLP, and predictive analytics. Test: Create test scenarios and design, develop, and execute corresponding automated tests. Cloud Infrastructure: Experience with major cloud providers like AWS, Azure or GCP. Understanding of Infrastructure as Code (e.g. Terraform, CloudFormation, Helm etc.) Collaboration: Excel in global cross-functional teams, including product management and architecture. Code Reviews: Utilize code reviews to ensure code quality, performance and maintainability, as well as mentoring opportunities. Continuous Improvement: Champion a culture of continuous improvement by driving engineering excellence, conducting root cause analyses, and implementing feedback loops to enhance code quality, team productivity, and system reliability. Technical experience and Professional attributes: Experience in object-oriented/modern languages (C#, Java, Go etc.) Understanding of software design patterns Good understanding of RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL). Working experience with CI/CD pipelines, containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, etc.). Hands-on experience with event driven architecture (e.g., Kafka, Pulsar, SNS/SQS). Experience in designing and implementing scalable test automation strategies using modern frameworks and tools such as Playwright, Cypress, Selenium, TestNG etc., with integration into CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) and cloud-based testing platforms. Experience with front-end technologies (e.g. React, Angular) is a strong plus. Basic experience designing and delivering AI solutions using modern software engineering practices and cloud technologies (e.g., Azure, AWS, GCP), with a focus on Generative AI and Large Language Models (LLMs) is a plus. Basic understanding of security best practices and frameworks. Knowledge of Snyk is a plus. Demonstrated problem-solving skills for complex tech challenges. Excellent communication, interpersonal, presentation, and facilitation skills across time zones. Experience working on AI/ML initiatives or certifications in AI technologies is a strong plus. Educational Qualifications : Education: Master’s degree (preferred) or bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). Experience: 5+ years in software development and testing, with at least 2 years in Cloud Native SaaS applications. Additional information: Act with Urgency: Adopt an agile mentality with a focus on quick iterations and resilience. Communicate with Clarity: Be clear, concise, and actionable. Embrace constructive feedback. Drive to Decision: Make decisions swiftly with defined deadlines and accountability. You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions