As an AI Azure Engineer, you will play a crucial role in shaping the technical direction of our AI and Machine Learning projects, driving innovation, and ensuring the successful implementation of AI solutions within a cloud-based or On-Prem environment. You will be part of a talented team of developers, collaborate with cross-functional teams, and contribute to the overall architecture and strategy of our technology landscape.
Be a part of our team where you will
- Work with data, algorithms, models, and platforms to ensure the models are operating correctly, efficiently, and at scale.
- Collaborate closely with other Data and IT profiles to ensure project outcome usability and product durability.
- Follow IT, PM, and Data Governance best practices and guidelines, meeting design requirements and project timelines.
- Create prototypes to validate proposed ideas, solicit input from stakeholders, run test-driven development and continuous integration processes, and provide support and troubleshooting.
- Design and build AI-based solutions as part of a team.
- Port new machine learning algorithms and models onto data science platforms.
- Develop end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
- Integrate machine learning solutions with existing business applications and systems.
- Produce high-quality automated work with excellent reliability and scalability.
- Act as a senior technical person to develop processes and metrics to monitor model performance.
- Collaborate in cross-functional teams to prototype new concepts and deliver end-to-end systems.
- Explore novel architectural solutions and communicate ideas clearly.
- Prepare visualizations of data and systems to explain and persuade.
- Communicate results to stakeholders across the business.
- Work closely with the Tax line of service to identify issues and use data to propose solutions for effective decision-making.
- Maintain clear and coherent communication, both verbal and written.
Skills
- A Bachelor's degree or several years of experience in computer science, data science, software development, or another related field; a master's degree is recommended.
- Proven experience (2-3+ years) as a Machine Learning Engineer, with a focus on Azure ML services.
- Solid understanding of common programming languages used in AI, such as Python, Scala, or C#.
- Experience with AI-based solutions and Generative AI technologies.
- Experience with Azure (preferred), AWS, or other Open Source models.
- Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
- Familiarity with DevOps principles including code repository, code management, CI/CD.
- Good understanding of software architecture patterns and application development.
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
