Senior Machine Learning Engineer

Plano, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Advanced Analytics
  • Analytics
  • Artificial Intelligence
  • Data Engineering
  • Data Quality
  • Databricks
  • ELT
  • Extract
  • Transform
  • Load
  • Leadership
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Mentorship
  • Microsoft Azure
  • Microsoft Power BI
  • Predictive Modelling
  • Python
  • SQL
  • Semantics
  • Workflow

Summary

Job Title: Senior Machine Learning Engineer

Location: Plano, TX (Hybrid 3 Days Onsite, 2 Days Remote)

Duration: 12+ Months Contract

Job Description

Highland Homes is seeking a Senior Machine Learning Engineer with strong Data Engineering and MLOps expertise to help build and scale a modern enterprise ML and Data Platform. The ideal candidate will have extensive experience designing ML-ready data architectures, implementing Medallion Architecture (Bronze/Silver/Gold), and developing scalable machine learning solutions using Azure Databricks, Python, and SQL.

Required Skills:

  • 10+ years of experience in Data & Analytics
  • 5+ years of hands-on Machine Learning Engineering experience
  • Strong expertise in Azure Databricks, Delta Lake, MLflow, and Databricks Workflows
  • Experience building and maintaining ML pipelines, feature stores, and production-grade data assets
  • Deep understanding of Medallion Architecture (Bronze, Silver, Gold)
  • Advanced Python and SQL skills
  • Experience with ETL/ELT development and data engineering best practices
  • Strong knowledge of MLOps, model deployment, monitoring, and governance
  • Experience developing semantic models, analytics solutions, and Power BI dashboards
  • Proven leadership experience mentoring teams and establishing engineering standards

Responsibilities:

  • Design and develop end-to-end machine learning and data engineering solutions
  • Build and optimize bronze, silver, and gold data pipelines
  • Develop ML-ready datasets and enterprise feature stores
  • Implement scalable ML workflows, model deployment, and monitoring processes
  • Collaborate with business stakeholders, analytics teams, and engineering teams
  • Establish coding standards, governance frameworks, and best practices
  • Support advanced analytics, predictive modeling, and enterprise AI initiatives
  • Ensure data quality, lineage, security, and performance across the platform

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: 10238807
  • Position Id: 8985300
  • Posted 8 hours ago
Contact the job poster
AK

Arjun Kana

Recruiter @ Sriven Systems Inc.
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