Jr AI Engineer

About Zenwork Zenwork is a market leader in the fintech space whose products help automate IRS tax filing processes by blending Tax expertise with technology tools. With over a decade of experience, we've empowered over 500,000 businesses and 30,000 CPA firms to navigate compliance complexities seamlessly Zenwork stands at the forefront of cloud/API-based Tax Automation and Governance, Risk Compliance (GRC) technology, pioneering the future of Tax Tech and GRC Automation. In terms of numbers, during the tax year 2022, we have reported over $413 Billion to the Internal Revenue Service, spanning over 30 million transactions for some of the globe's leading and most forward-thinking firms. As a rapidly expanding digital compliance AI-SaaS Product company, Zenwork boasts a customer base that spans all sizes, partnering with industry giants like Intuit, Bill.com, Xero, and Sage Intacct. Recognized as one of the fastest-growing companies in the U.S. by Inc magazine and a consecutive Accountex award recipient, Zenwork has garnered significant acclaim. The executive team at Zenwork is led by Sanjeev Singh, CEO (Ex ADP, Harvard) along with Co-Founders Ed Pratt (Ex ADP) and Rekha Singh (Ex IBM) Backed by Spectrum Equity Partners, Zenwork has successfully raised over $163M in funding, maintaining profitability as a late-stage entity with operations in both the U.S. and India. Responsibilities: Develop and implement machine learning algorithms and models to solve business problems and optimize processes. Collect, preprocess, and analyze large datasets to extract meaningful insights and drive informed decision-making. Design and develop scalable and efficient AI/ML solutions that can be deployed in production environments. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay up-to-date with the latest advancements in AI/ML technologies and techniques and evaluate their potential applications in our projects. Conduct experiments and perform rigorous testing to validate the performance and accuracy of developed models. Optimize and fine-tune machine learning models for improved performance, scalability, and reliability. Document code, algorithms, and processes to ensure reproducibility and maintainability of developed solutions. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. 0 -2+ years of hands-on experience in AI/ML model development . Proven experience in developing and deploying machine learning models and algorithms in real-world applications. Proficiency in programming languages such as Python, Java, or C++, and experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with RESTful APIs, GraphQL, and integrating third-party services. Proficient in Django ORM, Django REST framework, and understanding of Django's class-based views. Strong understanding of machine learning concepts and techniques, including supervised learning, unsupervised learning, and deep learning. Experience with data preprocessing, feature engineering, and model evaluation/validation techniques. Familiarity with cloud platforms such as AWS, Azure for building and deploying AI/ML solutions is a plus. Excellent problem-solving skills and ability to work independently as well as collaboratively in a team environment. Join us in shaping the future of AI and machine learning! If you are passionate about innovation and eager to make an impact, we want to hear from you. Apply now to join our dynamic team!