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AI​/MLOps Engineer; x2

Job in Saint Petersburg, Pinellas County, Florida, 33739, USA
Listing for: Vaco
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: AI/MLOps Engineer (x2)

POSITION SUMMARY

We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics.

ESSENTIAL DUTIES
  • Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based applications.
  • Include AI components in data workflows, engage with data scientists and data engineers.
  • Utilize Azure AI services to implement natural language processing (NLP) and create and implement machine learning models and algorithms.
  • Automate the deployment and monitoring of AI models, and collaborate with Dev Ops teams.
  • Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
  • Implement machine learning pipelines and workflows.
  • Deploy and scale ML models in production environments.
  • Automate CI/CD pipelines to account for data, code, and model changes.
  • Monitor model performance and apply updates as needed.
  • Ensure the security and compliance of machine learning systems.
  • Collaborate with data scientists to optimize models and improve performance.
POSITION REQUIREMENTS & COMPETENCIES
  • Bachelor's Degree (BA/BS) in Information Systems from a four-year college or university and five or more years of development experience required, or an equivalent combination of education and experience.
  • Travel up to 25%.
  • Three to six years of experience managing machine learning projects end-to-end, with the last eighteen months focused on MLOps.
  • Strong programming skills, preferably in languages such as Python, Java, or Scala.
  • Proficiency in machine learning libraries and frameworks such as Tensor Flow, PyTorch, or scikit-learn.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Familiarity with ML model deployment tools such as MLflow or Kubeflow.
  • Working experience in the Azure cloud platform.
COMPENSATION & BENEFITS

The salary range for this role is published in this job posting. The selected candidate may be eligible for discretionary bonuses and can participate in medical, dental, and vision benefits, as well as the company's 401(k) retirement plan.

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

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 application 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 the confidentiality of any information you learn from Vaco by Highspring about the position to the fullest extent permitted by law, and to 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.

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