AI/ML Engineer Devi Technologies
Job in
Town of Texas, Marathon County, Wisconsin, USA
Listed on 2026-10-14
Listing for:
Devitechs
Full Time
position Listed on 2026-10-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
- Design, develop, and deploy machine learning models for real-world applications. Ensure models are scalable, reliable, and optimized for production environments.
- Work with large structured and unstructured datasets from multiple sources. Perform data cleaning, transformation, and preprocessing for analysis readiness.
- Build predictive, classification, and recommendation models. Continuously improve model accuracy through experimentation and tuning.
- Collaborate with data engineers and software developers. Integrate AI solutions seamlessly into existing systems and workflows.
- Deploy models using cloud platforms and monitor performance. Ensure consistent behavior in live production environments.
- Implement deep learning and natural language processing solutions. Enhance automation and intelligent decision‑making capabilities.
- Perform feature engineering to improve model effectiveness. Analyze patterns and correlations in complex datasets.
- Use frameworks like Tensor Flow, PyTorch, and Scikit-learn. Develop reusable and scalable machine learning pipelines.
- Evaluate models using appropriate metrics and validation techniques. Ensure robustness and generalization of results.
- Automate training, testing, and deployment pipelines. Improve efficiency and reduce manual intervention.
- Collaborate with stakeholders to understand business requirements. Translate business problems into technical AI solutions.
- Maintain clear and comprehensive documentation of models. Support knowledge sharing and future development.
- Troubleshoot model and pipeline issues. Implement fixes and optimize performance.
- Ensure compliance with data privacy and ethical AI standards. Implement responsible AI practices across projects.
- Optimize models for speed, scalability, and efficiency. Improve inference time and system throughput.
- Participate in code reviews and technical discussions. Maintain high‑quality coding and development standards.
- Support integration of AI features into applications. Ensure seamless user experience and functionality.
- Stay updated with the latest AI trends and technologies. Adopt best practices and innovative approaches.
- Conduct experiments and A/B testing. Validate the effectiveness of deployed AI solutions.
- Mentor junior team members and provide technical guidance. Contribute to team growth and knowledge development.
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