> Markdown version of [/jobs/ext/2826324-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2826324-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Everforth Apex - **Location:** Fort Lauderdale, FL, United States (Remote available) - **Experience:** Experienced - **Salary:** $156,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Information Systems, Computer Networks, Internet Services, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Sentiment Analysis, Software Deployment, SQL Databases, Data Streaming, Search (Computer Science), Scripting, Feature Engineering, Pytorch, Apache Spark, Scikit Learn, Kubernetes, Information Technology, Optimization Algorithms, Deployment Automation, HuggingFace, Production Code, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Docker - **Published:** September 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-new-york-ny--24748836-0389-4991-abc3-0ff69d6ee739 ## About the Role Experience: 3+ years of experience in machine learning, AI engineering, or applied data science. Proven experience deploying ML models into production environments is required. Technical Skills: Strong proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, scikit-learn, or Hugging Face. Experience with data pipeline tools and frameworks like Spark, Airflow, dbt, or SQL. Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes)., * Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries. * Familiarity with time-series data, network telemetry, or streaming data platforms. * Experience with NLP, speech processing, or conversational AI. * Experience with MLOps tools such as MLflow, Kubeflow, or Weights & Biases. * Bachelor's or master's degree in computer science, Machine Learning, Data Science, or a related field., Amazon Web Services (AWS), Analysis Skills, Apache Spark, Artificial Intelligence (AI), Broadband, Career Counseling, Cloud Computing, Code Reviews, Computer Networks, Computer Science, Customer Churn, Customer Support/Service, Data Management, Data Science, Demand Forecasting/Planning, Demand Generation, Docker, Information Technology & Information Systems, Internet Search, Internet Service Providers, Leading Edge Technology, Machine Learning, Market Segmentation, Microsoft Windows Azure, Natural Language Processing (NLP), Optimization Algorithm, Performance Analysis, Performance Modeling, Predictive Modeling, Python Programming/Scripting Language, SQL (Structured Query Language), Team Player, Telecommunications, Telemetry, Test Plan/Schedule, Use Cases ## Description This is a hands-on engineering role where you will own individual use cases end-to-end, from data exploration and feature engineering through model development and production deployment. You will work alongside a Senior ML/AI Engineer and report to the Director, ACE. You will operate within the architecture and MLOps standards set by the team while having the autonomy to drive your own projects to completion., * Develop, train, evaluate, and deploy ML/AI models across a range of use cases including classification, regression, anomaly detection, NLP, and generative AI. * Build and maintain data pipelines and feature engineering workflows that feed production models. * Write clean, tested, production-quality code and participate in peer code reviews. * Monitor model performance in production and implement retraining workflows when drift or degradation is detected. * Work with network telemetry and time-series data to build anomaly detection and predictive maintenance models. * Develop NLP and speech models for call summarization, sentiment analysis, and agent assist tools. * Build churn prediction, customer segmentation, and next-best-action models. * Develop demand forecasting models and optimization algorithms for operational efficiency. * Partner with internal teams to understand business problems and translate them into AI solutions. * Contribute to the teams MLOps practices including model versioning, experiment tracking, and automated deployment. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)