AI / ML Engineer

 About The Role  
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 3 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 software productsJoin us to help develop our Returns product suite leveraging AIThe 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. Additional information:Our vision is to accelerate global commerce. We strive to simplify the intricate processes involved in tax compliance, empowering businesses to focus on what they do best - growing their enterprises. We have been the market leader for indirect tax determination and compliance for almost half a century, Vertex helps over 4,000 companies around the globe transact, comply, and grow with confidence. We are actively transforming our product ecosystem with AI-driven capabilities from intelligent automation to generative experiences, making Vertex a destination for engineers passionate about shaping the future of enterprise AI. We build inclusive teams of industry leaders and fuel their growth.Our culture thrives on collaboration, empowerment, and continuous improvement. We foster a spirit of innovation, and continuous learning, enabling each member of our team to contribute their unique talents and perspectives. Join our team at Vertex, a company consistently recognized as a Top Workplace by the Philadelphia Inquirer for eight consecutive years. Key Responsibilities :Technical Leadership:Adopt engineering best practices on architecture, and technology choices. Lead and mentor junior engineers, guide technical design and architecture discussions, and identify design pattern needs. AI Execution:Execute on the mission of AI integration across our product suite, including Generative AI, NLP, and predictive analytics. Development:Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (C#, Java, Go etc.) 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.
Educational Qualifications :Education:Masters degree (preferred) or bachelors degree in computer science, engineering, or a related field (or equivalent experience). Experience:8+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications. Experience working on AI/ML initiatives or certifications in AI technologies is a strong plus. Skills :Experience in object-oriented/modern languages (C#, Java, Go etc.) Understanding of software design patterns Proficient in RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL). Proficiency 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. Experience designing and delivering AI solutions using modern software engineering practices and cloud technologies (e.g., Azure, AWS, GCP), with a strong focus on Generative AI and Large Language Models (LLMs). 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. Our Core Values :Here are the Winning Way behaviors that all Vertex employees embrace every dayOwn the Outcome:Commit to milestones and demonstrate unwavering support for team decisions. If you are unsure, askWork with Purpose:Foster a "We Can" mindset where results outweigh effort; everyone understands how their roles contribute to team outcomes. 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 Qualification BTECH