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AI / Machine Learning Engineer

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Signify Technology

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Location:
United States , Los Angeles

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

170000.00 - 190000.00 USD / Year
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Job Responsibility:

  • Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio
  • Build, fine-tune, and evaluate LLM-based applications
  • Develop and maintain Python pipelines (ETL/ELT) and ML models
  • Deliver demand prediction, sales forecasting, and operational planning models
  • Integrate AI into Power Platform solutions and line-of-business apps
  • Build task-oriented AI agents and automation workflows
  • Design context management patterns for AI systems
  • Design scalable data products on Fabric/Databricks/Synapse
  • Build CI/CD for models and prompts
  • Implement telemetry and responsible AI evaluations
  • Create runbooks, model cards, data contracts, and playbooks

Requirements:

  • 5+ years in software/data engineering or machine learning
  • 2+ years building AI/ML or LLM-based systems in production environments
  • Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio
  • Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse
  • Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions
  • Proven experience building autonomous agents or AI-driven workflows with safety and observability
  • Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks
  • Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement

Nice to have:

  • Strong Python development skills and experience with machine learning and LLM frameworks such as PyTorch, TensorFlow, or Hugging Face
  • Experience building LLM-powered applications, including prompt engineering, RAG pipelines, and evaluation frameworks
  • Familiarity with vector embeddings and semantic search using technologies such as Azure OpenAI or Azure AI Search
  • Strong understanding of forecasting and time-series modeling techniques
  • Experience building data products and pipelines using Fabric, Databricks, Synapse, or similar lakehouse architectures
  • Experience integrating AI systems with enterprise data sources and APIs
  • Experience implementing MLOps practices on Azure, including model registry, CI/CD pipelines, automated retraining, and monitoring
  • Familiarity with Azure DevOps or GitHub Actions for AI/ML lifecycle automation
  • Knowledge of data privacy, security, and responsible AI principles
What we offer:
  • Comprehensive Medical, Dental and Vision Plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Wellness Incentive
  • Employee Assistance Program (EAP)
  • Paid Time Off & Holidays
  • 401(k) Retirement Plan Matching
  • Group Term Life and AD&D Insurance
  • Short-Term and Long-Term Disability Insurance
  • Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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