AI/MLOps Engineer POST NUMBER: 474392
CONTRACT TO HIRE (EST or CST)
We are seeking a highly skilled and passionate AI/MLOps Engineer to design, build, and operationalize scalable machine learning solutions on Azure. This role focuses on creating robust data platforms and pipelines that enable advanced analytics and production-grade AI applications. The ideal candidate bridges the gap between data science and engineering by transforming experimental models into reliable, efficient, and scalable systems.
AI/MLOps Engineers are responsible for automating and optimizing the lifecycle of machine learning models, ensuring seamless integration into business workflows and delivering real-world impact through intelligent systems.
Key Responsibilities
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Design, develop, and deploy AI/ML applications using Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services.
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Build and maintain scalable data pipelines and ML workflows to support model training, validation, and deployment.
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Collaborate with data scientists and data engineers to integrate AI components into production data environments.
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Develop and implement machine learning models, including NLP solutions, recommendation systems, chatbots, and image recognition applications.
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Automate CI/CD pipelines for machine learning systems, incorporating data, code, and model versioning.
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Deploy, monitor, and scale machine learning models in production environments.
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Continuously evaluate model performance and implement improvements to maintain accuracy and efficiency.
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Ensure security, governance, and compliance of AI/ML systems.
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Partner with DevOps teams to streamline infrastructure and deployment processes.
Required Qualifications
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Bachelor’s degree in Information Systems, Computer Science, or a related field, or equivalent practical experience.
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3–6 years of experience delivering end-to-end machine learning solutions, including at least 18 months focused on MLOps.
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Strong programming skills in Python, Java, or Scala.
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Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Proficiency with containerization and orchestration tools, including Docker and Kubernetes.
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Experience with ML lifecycle and deployment tools such as MLflow or Kubeflow.
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Solid experience working within the Azure cloud ecosystem.
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Understanding of CI/CD practices for machine learning systems and data pipelines.
Preferred Skills
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Experience with natural language processing (NLP) and conversational AI solutions.
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Familiarity with data engineering concepts and distributed data processing.
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Knowledge of monitoring tools and model observability best practices.
Additional Information
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Ability to travel up to 25% as needed.
Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
EEO Notice
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Privacy Notice
Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.