AI Engineer

Everforth Apex
Fort Lauderdale, FL, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$156,000.0
Working hours
Regular working hours

Tech stack

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
+23 more
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

Job 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.

Requirements

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

Benefits & conditions

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.

Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.

About the company

Our organization is a leader in its field, focused on leveraging cutting-edge technology to solve complex business challenges. We foster a collaborative environment where engineers have the autonomy to lead projects and make a tangible impact. This role is part of a dedicated team focused on developing advanced AI and machine learning solutions.

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