Senior Machine Learning Engineer – NLP, LLM Focus

Century Interactive

Senior Machine Learning Engineer specializing in NLP and LLM-powered models at Call Box. Lead the design and deployment of scalable AI-driven solutions in an exciting collaborative environment.

Posted 7/28/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and deploying NLP and LLM-powered models, with a strong focus on MLOps best practices and scalable solutions. Proven ability to collaborate effectively with cross-functional teams and mentor others in machine learning engineering.

Highest-signal resume keywords

NLP Model DevelopmentLLM Technologies (BERT, GPT)Python ProgrammingMLOps Best PracticesCloud Infrastructure (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EngineeringNatural Language ProcessingModel DeploymentText ClassificationConversational AIDocument AnalysisAPI DevelopmentData Pipeline ConstructionModel MonitoringVersioning and Retraining

Soft Skills

Team-Oriented MindsetCollaborationMentoring

Tools & Technologies

TensorFlowPyTorchHugging FaceKubernetesDockerMLflow

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead the design, development, and deployment of NLP and LLM-powered models that drive key products and business functions.
Turn cutting-edge models into production-ready, scalable solutions, ensuring seamless integration into our applications.
Build APIs and pipelines that power AI-driven insights from a variety of data sources like call transcriptions and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis.
Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions.
Ensure MLOps best practices are followed, with a focus on model monitoring, versioning, and retraining workflows.
Serve as a technical mentor through code reviews, pair programming, and guidance on best practices.

Requirements

What you’ll need

5+ years of experience in machine learning engineering with a focus on NLP and LLM technologies (e.g., BERT, GPT, or similar transformer models).
Proven experience in building and deploying large-scale NLP models for real-world applications.
Expertise in turning research-based models into scalable, production-level solutions.
Strong programming skills in Python, with deep familiarity in libraries like TensorFlow, PyTorch, or Hugging Face.
Experience with cloud-based infrastructures (AWS, Azure, GCP) and tools like Kubernetes, Docker, and MLflow.
A team-oriented mindset, with a passion for collaborating and mentoring others.

Benefits

Comp & perks

Medical and dental insurance options.
Company provided Long Term Disability and Life Insurance.
401k with company match to help secure your financial future.
A monthly wellness allowance, reading stipend, and other perks to ensure a healthy work-life balance.
Clear opportunities for career growth with mentorship from senior leaders.
An exciting, collaborative work environment with regular team-building activities and company events.