Expert AI/ML Engineer

Oakland, CA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
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Fitment

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Job Details

Skills

  • Predictive Modelling
  • Data Analysis
  • Performance Tuning
  • Analytics
  • Mentorship
  • Development Testing
  • Automated Testing
  • Promotions
  • Workflow
  • Use Cases
  • Reporting
  • Semantic Search
  • Document Processing
  • Regulatory Compliance
  • Documentation
  • Management
  • Unsupervised Learning
  • Regression Analysis
  • Forecasting
  • Natural Language Processing
  • Evaluation
  • Python
  • SQL
  • Data Science
  • Pandas
  • NumPy
  • scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Data Engineering
  • Data Quality
  • Production Support
  • Communication
  • Insurance
  • Health Insurance
  • Financial Services
  • Microsoft Azure
  • Machine Learning (ML)
  • Databricks
  • GitHub
  • Microsoft Power BI
  • Generative Artificial Intelligence (AI)
  • Snow Flake Schema
  • Cloud Computing
  • Auditing
  • Health Care
  • Call Center
  • Artificial Intelligence

Summary

Join a high-impact enterprise AI and machine learning team supporting healthcare analytics and operations through the development of practical, production-ready ML solutions. This hybrid role offers the opportunity to build, tune, validate, and operationalize models while helping shape MLOps practices, governance standards, and responsible AI approaches from concept through production.
Responsibilities
  • Design, build, train, validate, and deploy machine learning models for a range of business and healthcare analytics use cases.
  • Support predictive modeling, classification, forecasting, anomaly detection, NLP, document intelligence, and related AI solutions.
  • Perform exploratory data analysis, feature engineering, model selection, and performance tuning to improve model results.
  • Evaluate model outputs and recommend enhancements to accuracy, stability, fairness, explainability, and overall reliability.
  • Troubleshoot issues related to data quality, model drift, inconsistent outputs, and production performance.
  • Partner with data engineering, analytics, and business teams to ensure models are built on trusted, governed data.
  • Mentor team members and provide hands-on guidance across model design, development, testing, validation, and deployment.
  • Review model architecture, code, features, and evaluation methods to support technical quality and production readiness.
  • Help define reusable standards, templates, checklists, and best practices for AI and machine learning delivery.
  • Contribute to MLOps practices, including experiment tracking, versioning, automated testing, CI/CD, deployment, and monitoring.
  • Support model promotion workflows, retraining strategies, rollback planning, alerting, and production support processes.
  • Assist in identifying and shaping AI use cases across reporting, operations, governance, and automation.
  • Provide technical guidance for GenAI and LLM-based solutions such as RAG, semantic search, text-to-SQL, summarization, and document processing.
  • Support governance and compliance activities, including documentation, validation, risk review, auditability, and responsible AI practices.
Skills
  • 8+ years of experience in machine learning, data science, AI engineering, ML engineering, or a related field.
  • Hands-on experience building, tuning, validating, and deploying machine learning models.
  • Strong knowledge of supervised and unsupervised learning, regression, classification, forecasting, NLP, and model evaluation.
  • Proficiency in Python and SQL.
  • Experience with common ML and data science tools and libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, or PyTorch.
  • Practical understanding of MLOps concepts such as model registry, experiment tracking, CI/CD, deployment pipelines, monitoring, drift detection, and retraining.
  • Experience working with enterprise data platforms, cloud platforms, and modern data engineering practices.
  • Strong data quality, feature engineering, model validation, and production support skills.
  • Ability to translate business needs into effective AI and machine learning solution designs.
  • Clear communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Preferred Skills
  • Experience in healthcare, dental insurance, health insurance, financial services, or another regulated environment.
  • Exposure to Azure ML, Dataiku, Databricks, Snowflake, MLflow, GitHub, GitHub Actions, Power BI, or similar tools.
  • Experience supporting GenAI and LLM-based solutions in an enterprise setting.
  • Familiarity with AI solutions built on enterprise data platforms such as Snowflake or cloud-based data ecosystems.
  • Experience with responsible AI, model governance, bias detection, explainability, and audit requirements.
  • Background supporting AI governance councils, architecture reviews, or model risk review processes.
  • Knowledge of healthcare data domains such as members, providers, claims, benefits, eligibility, call center, clinical, dental, or operational data.
  • A collaborative, curious, and solutions-oriented approach with a passion for helping teams deliver reliable AI outcomes.

Horizontal Talent is committed to fostering an inclusive workplace where diverse perspectives are valued, and every team member is supported and respected. We welcome applicants from all backgrounds and encourage individuals with a wide range of experiences to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10123528
  • Position Id: 75306
  • Posted 1 hour ago

Company Info

About Horizontal Talent

Horizontal Integration offers two service lines. Our staffing agency places IT, digital and creative talent in both contract and permanent roles. Our digital agency provides digital marketing strategy and technology consulting on a project basis. Many of our clients take advantage of both service lines.

We are a certified Minority Business Enterprise, with more than 200 employees across our offices in Minneapolis, Denver, Dallas and Vadodara, India. We ve been consistently growing and profitable since the company was founded in 2003.

Honors:
Recognized as a "2009 Best Place to Work" by Minneapolis/St.Paul Business Journal.

Fact:
Our people and our organization are deeply rooted in IT and interactive marketing.

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact us. All applicants applying must be legally authorized to work in the country of employment.

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