AI engineer

AI engineer | Fort Lauderdale, Florida, United States AI Engineer (Remote, Contract-to-Perm)

Location:

Fort Lauderdale, FL (Remote)

Employment Type:

C2C, Contract to Perm

About the Role
Join a forward-thinking team as an AI Engineer, where you'll deliver impactful machine learning solutions across diverse use cases. You'll take full ownership of projects, from data exploration to model deployment, working closely with a Senior ML/AI Engineer and reporting directly to the Director, ACE. Operate within an established MLOps framework while enjoying autonomy and opportunities to drive innovation. This is a fully remote position, offering flexibility and the potential for long-term growth.

Responsibilities

- Develop, train, evaluate, and deploy ML/AI models for classification, regression, anomaly detection, NLP, and generative AI applications
- Build and maintain robust data pipelines and feature engineering workflows for production models
- Write clean, well-tested code and participate in peer code reviews to maintain high-quality standards
- Monitor and retrain deployed models to address data drift or performance degradation
- Create anomaly detection and predictive maintenance models using network telemetry and time-series data
- Design and deploy NLP and speech models for call summarization, sentiment analysis, and agent assist tools
- Build models for churn prediction, customer segmentation, next-best-action, demand forecasting, and operational optimization
- Collaborate with internal teams to translate business problems into effective AI solutions
- Contribute to MLOps practices, including model versioning, experiment tracking, and automated deployment

Required Skills and Experience

- At least 2+ years in machine learning, AI engineering, or applied data science
- Proven track record deploying ML models in production environments
- Strong proficiency in Python and ML frameworks (PyTorch, Tensor Flow, scikit-learn, Hugging Face)

- Experience with data pipeline tools/frameworks (Spark, Airflow, dbt, SQL)
- Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes)
- Solid understanding of classical ML techniques and modern generative AI/LLM approaches
- Clear communication skills with the ability to explain technical concepts to non-technical stakeholders
- Strong problem-solving skills and independent project ownership

Preferred Skills

- Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries
- Familiarity with time-series data, network telemetry, or streaming data platforms
- Hands-on experience with NLP, speech processing, or conversational AI
- Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases)
- Bachelor's or master's degree in Computer Science, Machine Learning, Data Science, or a related field

Benefits

- 100% remote role with flexible work arrangements
- Opportunity for contract-to-permanent conversion and career advancement
- Work with cutting-edge AI and MLOps technologies
- Collaborate with a highly skilled, innovative team
- Direct impact on business-critical projects with visible outcomes

How to Apply

Ready to take your AI engineering career to the next level? Submit your resume today for immediate consideration. Candidates must be authorized to work in the US without sponsorship.