Cyara is the world’s leading Automated CX Assurance Platform provider, enabling leading brands across the globe to build better customer experiences faster. Through automated testing and monitoring, Cyara accelerates the delivery of flawless customer journeys across digital and voice channels while reducing the risk of customer-facing defects. Every day the most recognizable brands, including Airbnb, Tesla, and NAB trust Cyara to deliver customer smiles at scale.Our promise is Customer Smiles - Delivered at Scale, and as a member of Cyara’s team, you’ll be given the opportunity to bring that mission to fruition alongside our amazing community of fun-loving forward thinkers. Interested to find out more about us? Check out:

www.cyara.comWant to know what it’s really like to join Cyara? Check out this link to meet some real Cyaran’s and read about their individual career journey with us:https://cyara.com/employee-profiles/

Cyara’s Values:

At Cyara, our values shape everything we do. We're passionate about

Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly, setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive.

Cyara’s Diversity, Equity, Inclusive and Belonging:

At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success.

Job Function Description:

We are looking for an experienced and passionate ML Ops Engineer to join our AI & Data Science team. The ideal candidate will have a strong background in machine learning operations, including experience with deploying, monitoring, and maintaining machine learning models in production. This role is vital in ensuring that our AI and machine learning solutions are robust, scalable, and deliver consistent value to our clients.

You will be responsible for:

· Design, implement, and manage the infrastructure required for deploying machine learning models into production.

· Ensure seamless integration of ML models with existing systems and applications.

· Develop and implement monitoring solutions to track the performance and accuracy of deployed models.

· Troubleshoot and resolve issues related to model performance and data quality.

· Regularly update and retrain models to maintain their accuracy and effectiveness.

· Implement continuous integration and continuous deployment (CI/CD) pipelines for ML models to streamline the deployment process.

· Automate workflows and processes to improve the efficiency of model deployment and management.

· Work closely with data scientists, data engineers, and software engineers to ensure smooth model deployment and operation.

· Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

· Ensure that deployed models comply with relevant security and privacy regulations.

· Implement best practices for data security and model governance.

Let’s talk about your skills/expertise:

· Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

· Proven experience (5+ years) in ML Ops, DevOps, or a related field, with a focus on deploying and managing machine learning models.

· Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

· Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.

· Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

· Strong understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI).

Additional Information

Why you should join us:

At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and valuethe expertise of their peers. Cyarais

committedto beingan equal opportunity employer,focused on building and maintaining a diverse, inclusive and authentic workplace; and awork environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve overtime.With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere.

Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators.

Interested? Know someone who might be? Apply online now.

Cyara are a Global Circle Back Initiative Employer - we commit to respond to every applicant.

Agencies:Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement inplaceand they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

Cyara

ML Operations Engineer