ML Ops Engineer
Raleigh, North Carolina, USA
Collibra
Collibra helps organizations do more with trusted data. Our data Intelligence solutions include AI Governance, Data Catalog, Data Governance, Data Quality & Observability and more.Joining Collibra’s AI Engineering team
Collibra is seeking an experienced Machine Learning Operations Engineer to contribute to the delivery of cutting-edge Artificial Intelligence solutions. As an ML Ops Engineer, you will play a crucial role in enhancing customer experiences and facilitating informed decision-making through pragmatic, performant AI solutions.
ML Ops Engineers at Collibra are responsible for
- Maintaining, monitoring, and developing production MLaaS infrastructure across Cloud (AWS, GCP, Azure) and Edge environments.
- Building scalable infrastructure solutions to support the implementation of GenAI technologies and other AI/ML solutions.
- Architecting and optimizing complex build pipelines, ensuring alignment with best practices and CI/CD principles.
- Collaborating with cross-functional teams to architect ML CI/CD approaches and foster continuous improvement in MLOps/LLMOps practices.
- Keeping abreast of evolving MLOps/LLMOps trends and technologies to deliver scalable infrastructure for technical users.
You have
- At least 2 years of expertise in cloud infrastructure and CI/CD in production environments, with demonstrable experience deploying and sustaining customer-facing features.
- Proficiency in Kubernetes, Docker, Terraform, Grafana, Datadog, Jenkins, and Git, leveraging these technologies for current deployments.
- Deep experience with cloud infrastructure, particularly AWS or GCP, and a commitment to ongoing learning and application of new cloud engineering concepts.
- A passion for cloud engineering and a proactive approach to continuous learning and innovation.
- Some familiarity with Java and Python, facilitating effective debugging within feature deployments.
- An interest in Artificial Intelligence and a willingness to learn from ML experts to contribute to AI/ML feature deployment.
- Experience with orchestration frameworks such as Kubeflow or Vertex Pipelines, demonstrating a strong capability in automating and optimizing ML workflows
- A bachelor’s degree or equivalent related working experience is required.
- Because this role supports the US government, it is required that this candidate be a US citizen who resides on US soil; this person will need to be available for FedRAMP cloud offerings support.
You are
- Passionate about cloud engineering and always eager to learn and apply new technologies to your work.
- Intrigued by Artificial Intelligence and eager to work closely with ML experts to deploy AI/ML features.
- Committed to driving scalability and sustainability in AI technologies across organizations.
- Agile-minded, with a positive mindset, and prioritize quality in every task.
- A collaborative team player with excellent communication skills, able to work effectively with Data Scientists, AI Engineers, and other cross-functional teams.
- Enthusiastic about scaling Large Language Models and other Generative AI technologies across organizations, driving sustainability and maintainability efforts.
Measures of success
- Within the first month, gain a comprehensive understanding of existing infrastructure and pipelines.
- By the third month, contribute to projects running in production and develop a broader overview of AI/ML projects and Collibra's product offerings.
- Within the sixth month, take ownership of projects and initiatives, proposing improvements and automation opportunities based on identified gaps in tooling.
Compensation for this role
The standard base salary range for this position is $140,000-175,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our {Be}well benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off.
Professional Development
Collibrians are ambitious and inventive, and we want to develop our skills individually and as a team. You’ll have access to development opportunities, as well as other rewards and recognition programs to help grow your career.
Health Coverage
We strive to remain locally competitive and globally equitable. This means comprehensive offerings including medical, dental, vision, and mental health benefits for you and your family.
Paid Time Off and Flexibility
We provide unlimited paid time off, global leave policies for a variety of personal and family circumstances, company-wide wellness days off throughout the year, meeting-free Wednesdays, and a flexible culture to help balance your work and your life.
Diversity, Equity, and Inclusion
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
Learn more about Collibra’s benefits.
At Collibra, we’re proud to be an equal opportunity employer – which ties directly to our core value, “open, direct, and kind.” We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
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Tags: Agile AWS Azure CI/CD Docker Engineering GCP Generative AI Git Grafana Java Kubeflow Kubernetes LLMOps LLMs Machine Learning MLOps Pipelines Python Terraform Vertex AI
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Medical leave Salary bonus Team events Unlimited paid time off Wellness
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