Senior AI/ML Engineer

AlertMedia

. Lead evaluation, training, and integration of advanced AI and machine learning models across the product suite .

Posted 10/8/2026full-timeRemote • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning engineering, particularly in training and fine-tuning supervised learning models and LLMs. Proficient in Python and relevant ML libraries, with a strong focus on AI compliance and collaboration across teams.

Highest-signal resume keywords

Machine Learning EngineeringPrompt EngineeringPython ProficiencyModel Evaluation Best PracticesElasticsearch Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSupervised LearningModel Fine-TuningClassificationRankingEmbeddingsData ScienceNLPA/B TestingCross-Validation

Soft Skills

Organizational SkillsCollaborationIndependent WorkProject ManagementAdaptability

Tools & Technologies

PythonScikit-learnPyTorchTensorFlowHugging FaceElasticsearchSageMakerBedrock

Industry Keywords

AI ComplianceData PipelinesAI InfrastructureModel BenchmarkingPerformance Tracking

Tech Stack

Tools & technologies

CloudElasticSearchPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead evaluation, training, and integration of advanced AI and machine learning models across the product suite
Train and fine-tune supervised learning models, including classification, ranking, and embeddings, for internal tools and customer-facing features
Lead prompt engineering and testing to fine-tune LLM behavior for product use cases
Design and implement evaluation pipelines for LLMs and traditional ML models
Work with and optimize Elasticsearch-backed data systems powering AI and intelligence pipelines
Identify opportunities to improve AI models, data pipelines, and engineering workflows
Develop tools and frameworks for prompt iteration, model benchmarking, and performance tracking
Coordinate with the security team to ensure AI compliance standards
Evaluate commercial and open-source LLMs for performance, cost, alignment, and reliability
Collaborate with product and engineering teams to integrate AI features safely, scalably, and maintainably
Monitor, evaluate, and continuously improve production AI and machine learning model performance
Stay informed about emerging NLP, machine learning, and AI infrastructure research and evaluate business applications
Contribute to AlertMedia’s culture, values, and vision

Requirements

What you’ll need

Bachelor’s degree in a technical field such as computer science, computer engineering or related field preferred
2+ years of software engineering experience; Python preferred
4–6+ years of experience in data science and/or software engineering, specifically in machine learning engineering or applied AI
Strong understanding of LLMs and traditional machine learning methods
Experience with prompt engineering, model fine-tuning, and evaluation
Familiarity with model evaluation best practices, including offline metrics, cross-validation, and A/B testing
Proficiency in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and Hugging Face
Experience working with Elasticsearch or other large-scale search and indexing platforms
Experience with cloud-based ML tooling such as SageMaker and Bedrock, and data workflows
Demonstrated experience training and deploying supervised learning models, ideally in production environments
Ability to work independently and collaboratively on cross-functional teams
Strong organizational skills and ability to manage multiple projects in parallel
Ability and desire to work in a fast-paced, challenging environment
Must have existing authorization to work in the U.S. without sponsorship now or in the future

Benefits

Comp & perks

Competitive base salary
Company-wide bonus program
Generous and flexible time off and parental leave policies
Medical, Dental, Vision and Life Insurance 100% paid for employees
401K with generous company match
Rewards and incentives
Community service opportunities
Access to downtown office with 360 views of Austin, high-tech building gym and nearby running trails
Ongoing career development opportunities through the Learning & Development team
Meaningful work in a fast-moving, global company with an award-winning culture