Applied AI Engineer
Appzeon · Remote · remote · Posted 1d ago
Undisclosed2–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Build, train and deploy machine learning models that power our AI products, working across the full pipeline from data to production
Responsibilities
- Build, train and evaluate machine learning and deep learning models
- Design data pipelines for model training and inference at scale
- Deploy models into production and monitor performance over time
- Collaborate with product teams to translate business problems into ML solutions
- Stay current with the latest research and bring relevant techniques into our products
Skills
- 2-5 years of experience in machine learning or applied AI roles
- Strong Python skills and experience with PyTorch or TensorFlow
- Familiarity with LLMs, NLP or computer vision is a plus
- Experience with cloud ML infrastructure (AWS, GCP or Azure)
- Solid grasp of statistics and model evaluation techniques
Offer
- Opportunity to work on cutting-edge AI products from day one
- Access to compute resources and modern ML tooling
- Fully remote with flexible hours
- Conference and certification budget
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
model evaluationComputer Visiongoogle cloud platformamazon web servicesai engineerNatural Language ProcessingstatisticsPytorchTensorflowPythoncloudResearchDeep LearningMicrosoft AzureData PipelineArtificial IntelligenceMachine Learning