AI / ML Engineer.

Posted 2 Days Ago
Be an Early Applicant
5 Locations
Remote
Mid level
Artificial Intelligence • Blockchain • Internet of Things • Machine Learning • Software
The Role
Develop, deploy, and maintain production-ready ML models for predictive analytics and forecasting. Perform feature engineering, model validation, monitoring, and ensure reproducibility. Implement MLOps, automated testing, and deployment pipelines. Integrate ML solutions with enterprise data platforms and BI tools while applying explainable and responsible AI practices in cross-functional teams.
Summary Generated by Built In

Are you passionate about building production-ready AI and machine learning solutions? Do you enjoy solving complex business problems using predictive models and advanced analytics? Would you like to contribute to an international project focused on enterprise analytics and AI innovation? Then we have an exciting opportunity for you!

The international IT company Intetics is looking for an experienced AI / ML Engineer to join our team.

The role involves developing, deploying, and maintaining machine learning solutions that support predictive analytics, forecasting, and AI-driven decision-making. You will work with modern Azure technologies, enterprise data platforms, and MLOps practices to deliver scalable, reliable, and business-focused AI applications.


Requirements
  • Design, develop, and deploy production-ready machine learning models.
  • Build predictive, forecasting, and probabilistic models for business use cases.
  • Perform feature engineering, data preparation, and model validation.
  • Monitor model performance and ensure reproducibility and reliability.
  • Integrate ML solutions with enterprise data platforms and BI applications.
  • Implement MLOps practices, automated testing, and deployment pipelines.
  • Collaborate with cross-functional teams to deliver AI-driven business solutions.
Requirements
  • Strong Python programming skills for machine learning development.
  • Experience deploying machine learning models into production environments.
  • Experience with forecasting, predictive analytics, or probabilistic modeling.
  • Knowledge of feature engineering, model validation, and performance monitoring.
  • Experience with MLOps practices and automated deployment.
  • Understanding of explainable and responsible AI principles.
  • Experience integrating ML solutions with enterprise data platforms.

Nice to Have:

  • Experience with Monte Carlo simulations or other stochastic methods.
  • Experience with Azure Machine Learning, Microsoft Fabric Data Science, or MLflow.
  • Experience with GenAI, NLP, or Retrieval-Augmented Generation (RAG) solutions.
  • Experience with workforce, finance, or cost forecasting projects.

Skills Required

  • Strong Python programming skills for machine learning development.
  • Design, develop, and deploy production-ready machine learning models.
  • Experience deploying machine learning models into production environments.
  • Experience with forecasting, predictive analytics, or probabilistic modeling.
  • Knowledge of feature engineering, model validation, and performance monitoring.
  • Experience with MLOps practices and automated deployment.
  • Understanding of explainable and responsible AI principles.
  • Experience integrating ML solutions with enterprise data platforms and BI applications.
  • Experience with Monte Carlo simulations or other stochastic methods.
  • Experience with Azure Machine Learning, Microsoft Fabric Data Science, or MLflow.
  • Experience with GenAI, NLP, or Retrieval-Augmented Generation (RAG) solutions.
  • Experience with workforce, finance, or cost forecasting projects.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Naples, FL
532 Employees
Year Founded: 1995

What We Do

Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies. Based on proprietary pioneering business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA™) and measurable SLAs for software engineering, Intetics helps innovative organizations capitalize on global talent with our in-depth engineering expertise based on our Predictive Software Engineering framework. Intetics core strength lays in design of software products in conditions of incomplete specifications. We have extensive industry expertise in Education, Healthcare, Logistics, Life Sciences, Finance, Insurance, Communications, and custom ERP, CRM, Intelligent Automation and Geospatial solutions. Our advanced software engineering background and outstanding quality management platform, along with an unparalleled methodology for talent acquisition, team building and talent retention, guarantee that our clients receive exceptional results for their projects. At Intetics, our outcomes do not just meet clients expectations, they have been exceeding them for a quarter of a century. Intetics operates from multiple offices in the USA, Europe and Latin America, hiring the best talent available worldwide. Intetics is ISO 9001 (quality) and ISO 27001 (security) certified and a Microsoft Gold, Amazon, and UiPath Silver partner. The company’s innovation and growth achievements are reflected in winning prestigious titles and awards, including Inc5000, Software 500, CRN 100, American Business, Deloitte Fast 50, European IT Excellence, Best European BPO, Stevie People’s Choice, Clutch and ACQ5 Awards, IAOP Global Outsourcing 100 and Fortune Innovative 300 lists.

Similar Jobs

Ciklum Logo Ciklum

Machine Learning Engineer

Information Technology • Consulting
Remote
Poland
2995 Employees

Xebia Logo Xebia

Infrastructure Engineer

Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
Remote
5 Locations
3254 Employees

Xebia Logo Xebia

Senior MLOps Engineer (AI/ML Platform)

Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
Remote
3 Locations
3254 Employees

Xebia Logo Xebia

Senior Machine Learning Engineer

Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
Remote
3 Locations
3254 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account