Netrolynx AI
Senior AI Engineer
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About The Company
Kainos is a leading digital services provider dedicated to transforming organizations through innovative technology solutions. With a strong focus on delivering impactful results, Kainos partners with clients across various industries to enhance their digital capabilities, optimize processes, and drive growth. The company prides itself on its collaborative culture, commitment to excellence, and a forward-thinking approach that leverages the latest advancements in technology. Kainos's expertise spans cloud computing, AI, data engineering, and enterprise application development, making it a trusted partner for organizations seeking to stay ahead in a rapidly evolving digital landscape.
About The Role
We are seeking a highly skilled Senior AI Engineer to join our Workday Practice at Kainos. In this pivotal role, you will serve as a bridge between data science and software engineering, focusing on productionizing AI and machine learning solutions that enhance our Workday offerings. Your primary responsibility will be to develop, deploy, and maintain scalable AI models that deliver tangible value to our clients. Working closely with data scientists, software engineers, and product teams, you will ensure that AI-driven features are reliable, efficient, and seamlessly integrated into existing systems. Your expertise will contribute to the continuous improvement of our AI capabilities, supporting the company's mission to deliver innovative digital solutions that make a real impact.
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The ideal candidate will possess a strong background in software development and AI deployment, with a focus on creating production-ready solutions. A bachelor's degree in Computer Science, Software Engineering, or a related field is required, with advanced degrees preferred. Proven experience in deploying AI/ML models in cloud environments such as AWS, Azure, or GCP is essential. Candidates should have proficiency in programming languages such as Python, Java, or C++, and be familiar with MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with containerization tools like Docker and orchestration platforms such as Kubernetes is highly desirable. Additionally, candidates should have a solid understanding of data engineering, data pipelines, and enterprise data integration. Strong communication skills and the ability to work collaboratively within agile teams are also important.
Responsibilities
- Designing and implementing scalable AI solutions that integrate seamlessly with Workday systems
- Developing and optimizing machine learning models, ensuring their performance and reliability in production environments
- Collaborating with data scientists to translate research prototypes into robust, deployable solutions
- Managing the deployment process using cloud-native tools, monitoring model performance, and implementing improvements as needed
- Building and maintaining data pipelines to support AI initiatives
- Contributing to establishing best practices for MLOps, including automation, version control, and continuous integration
- Participating in code reviews, documentation, and knowledge-sharing activities to foster a culture of continuous learning and innovation within the team
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Benefits
Kainos offers a comprehensive benefits package designed to support your professional and personal growth. This includes:
- Competitive salary packages
- Flexible working arrangements
- Opportunities for continuous learning through training and development programs
- Access to health and wellness benefits, including medical insurance, mental health support, and wellness initiatives
- A collaborative and inclusive work environment, encouraging innovation and creativity
- Recognition programs, career advancement opportunities, and a supportive team culture that values diversity and inclusion
Equal Opportunity
Kainos is committed to fostering an inclusive environment where everyone feels valued and respected. We are an equal opportunity employer and do not discriminate based on age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic protected by law. We believe that a diverse team drives innovation and excellence, and we actively seek to recruit talented individuals from all backgrounds. Our recruitment process is designed to be fair and accessible, and we are happy to make accommodations for candidates with specific needs. We encourage everyone to apply and look forward to welcoming diverse perspectives to our team.
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