Sr ML Engineer

Hybrid in Columbus, OH, US • Posted 60+ days ago • Updated 8 hours ago
Full Time
Occasional Travel Required
On-site
$160,000 - $180,000/yr
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Job Details

Skills

  • AI
  • Machine Learning
  • Java
  • Engineer
  • Databricks
  • Azure

Summary

AI/ML Engineer
(please no Corp to Corp or sponsorship requests)
 
Position Summary
Expeed Software is dedicated to helping organizations accelerate digital transformation through modern engineering, cloud-native solutions, and intelligent data platforms. As part of our growing AI and Data Engineering practice, we are seeking a passionate Azure AI/MLOps Engineer to design and operationalize scalable AI and machine learning solutions.

In this role, you will transform data science prototypes into production-grade systems automating, optimizing, and deploying models that deliver real business impact. Your expertise in Azure cloud services, machine learning frameworks, and DevOps practices will ensure our clients can seamlessly integrate predictive intelligence into everyday operations.
 
Essential Duties & Responsibilities
Design, develop, and deploy AI/ML applications using Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
Collaborate with data scientists and engineers to embed AI components into full data workflows.
Build and implement machine learning and NLP models using Azure AI services.
Automate deployment, testing, and monitoring of ML models using MLOps practices.
Develop AI-driven solutions such as sentiment analysis, image classification, recommendation engines, and chatbots.
Implement machine learning pipelines and workflows.
Deploy and scale ML models across production environments.
Build CI/CD pipelines supporting continuous data, code, and model updates.
Monitor and optimize model performance, versioning, and retraining.
Ensure ML system security, governance, and compliance.
Collaborate with cross-functional teams to enhance model accuracy and reliability.
 
Position Requirements & Competencies
Bachelor s degree in Information Systems, Computer Science, or related field, or equivalent experience.
10+ years of software development experience, including 3-6 years supporting endtoend ML projects.
Must have 2+ years of hands on Azure Databricks experience.
Minimum 18 months of hands-on MLOps experience.
Strong programming skills in Python & Java
Proficiency with TensorFlow, PyTorch, or scikit-learn.
Experience with Docker and Kubernetes.
Familiarity with MLflow or Kubeflow for model deployment.
Hands-on Azure cloud experience.
Willingness to travel up to 25%.
Proven experience automating machine learning model deployments.
 
Salary Range 175-190k
Preferably Columbus, OH but open to remote
2-3 days in office/week
No Corp to Corp or sponsorship
Please send resume to
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170494
  • Position Id: 8858003
  • Posted 30+ days ago

Company Info

About Expeed Software Llc

Expeed Software is an IT consulting company that helps businesses of all sizes modernize, integrate and optimize their applications and processes to create extraordinary experiences. We are experts in software application development, data analytics, and digital transformation strategy.

At Expeed, our team of experts works alongside your company to create flexible digital platforms, empowering you to quickly adapt to the ever-changing marketplace. Driven by the overall solution and not individual tasks, we develop robust and scalable solutions you trust to increase efficiency, minimize risk, and invent new business models using actionable reliable insights.

With technology at the center of every strategy, our application development expertise allows companies to quickly react to changing customer demands. Using a platform approach, we use the best of our strategic thinking to ensure every app we develop is scalable, adaptable, and expand your existing digital platform.

Our data analytics practice enables enterprises to unleash the potential of their data to drive innovation and growth. When people in every corner of an operation have access to data providing them with actionable insights, transformation and innovation accelerate. Rapid data-driven decision-making puts companies in a position to not only optimize but to be a disrupter in your industry.

We also provide digital transformation strategy to clients, helping them reimagine how they create value, both for their clients and for their team. React to market dynamics in months instead of years with a digital ecosystem built to create more revenue streams. Enable better decision-making, power up game-changing efficiencies, and offer a better customer experience with a resilient and agile cross-company digital infrastructure.

Expeed’s business model is based on having strategic long-term relationships with our clients.

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