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JB061663 - Machine Learning Engineer Apply

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Highland Homes

12+ month contract

10+ years of experience

Machine Learning Engineering opportunity. Client is not open to one-dimensional Data Scientist.

Hybrid opportunity in Plano, TX 3 days onsite and 2 days remote

Strong communication and business acumen is required as stakeholders/directors/managers/engineers are all onsite

2nd round interview is onsite

Top Skills' Details

Leadership & Technical Expertise:
5–7 years of hands‑on ML engineering and data engineering experience, including building and hydrating curated data models and leading technical teams.

Proven ability to design ML‑ready data architectures and establish engineering standards, coding practices, and scalable workflows.

Deep understanding of Medallion Architecture, including how to ingest raw source data into Bronze, refine and validate it in Silver, and deliver clean, conformed, analytics‑ and ML‑ready Gold Layer datasets.

Azure Databricks:
Extensive experience using Azure Databricks for ML development, feature engineering, and data engineering pipelines.

Background migrating workloads to Databricks and leveraging Delta Lake, MLflow, and Databricks Workflows to operationalize ML and data transformations.

Python & SQL:
Strong proficiency in Python for model development, feature engineering, and MLOps automation.

Advanced SQL skills to build transformations, views, and optimized ELT pipelines that hydrate the Gold Layer.

Comfortable working in a fast‑paced, collaborative environment where experimentation and iteration are encouraged.

Data & Analytics Background:
10+ years in Data & Analytics, delivering enterprise‑scale data and ML solutions.

Experience designing feature stores, ML‑ready semantic layers, and production‑grade data assets.

Ability to integrate ML outputs into analytics tools and business‑facing dashboards.

Analytics & Visualization:
Experience designing semantic models and dashboards to surface ML insights, data quality metrics, and model performance.

Familiarity with Power BI best practices, including DAX and visualization standards.

Job Description

Overview:
We are seeking a Senior ML Engineer with strong data engineering foundations and deep experience building ML‑ready data pipelines within a Medallion Architecture. This role will lead technical initiatives, shape the ML and data engineering strategy, and help build a modern data platform that powers advanced analytics, predictive modeling, and enterprise‑scale machine learning.

You will design and implement scalable ML pipelines, ensure high‑quality data flows from ingestion to the Gold Layer, and collaborate across teams to deliver intelligent, data‑driven solutions.

Key Responsibilities:
Lead the development and maturity of the Modern ML & Data Platform.

Architect and maintain end‑to‑end ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.

Design and operationalize Bronze → Silver → Gold data flows that support ML workloads and enterprise analytics.

Build and maintain the Enterprise Feature Store and ML‑ready Gold Layer datasets.

Translate business requirements into scalable ML and data engineering solutions.

Implement robust ETL/ELT processes, data acquisition strategies, and automated workflows.

Collaborate with data engineering, analytics, and product teams to ensure ML solutions meet business needs.

Mentor team members and enforce engineering best practices, coding standards, and model governance.

Ensure data governance, security, lineage, and performance optimization across ML and data pipelines.

Support the development of dashboards and semantic models that surface ML insights and operational metrics.

Dimensions Required:
Self‑starter

Problem Analysis & Judgment

Decisiveness & Risk Taking

Planning & Organization

Delegation & Follow‑Up

Communication & Persuasiveness

Adaptability & Drive

Continuous Learning & Self‑Development

Additional Skills & Qualifications

Additional Skills (Nice to Have)
Experience with GIS

Familiarity with LLMs, generative AI, and advanced ML techniques.

Exposure to model monitoring, drift detection, and ML observability tools.

Employee Value Proposition (EVP)

This role is central to shaping the organization’s Modern ML & Data Platform, enabling digital transformation initiatives such as the Digital Buying Experience and Online Design Center. You will architect the ML and data foundations that power customer‑facing applications and enterprise decision‑making.

Work Environment

Hybrid — 3 days onsite at the Plano HQ (flexible after onboarding).

Business Drivers/Customer Impact

You will lead ML and data engineering initiatives, establish platform standards, and deliver scalable ML‑ready data solutions that drive advanced analytics and business insights.

This is a new capability Highland Homes is building, You will need to understand the business and ability to connect the dots between business and data

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Start Date:
Interview Types

JB061663 - Machine Learning Engineer Apply

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