Gis Machine Learning Jobs in Dallas, TX (NOW HIRING)

Note : for this following role we need someone who can work on our W2 , we cannot accept resumes from Employers or Contract or C2c basis .
Job Title : Senior Machine Learning /Data Engineer
Location : Plano, TX ( LOCALS will be given preference )
Duration: Longterm

Top Skills' Details

Leadership & Technical Expertise:
5 7 years of handson ML engineering and data engineering experience, including building and hydrating curated data models and leading technical teams.
Proven ability to design MLready 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 MLready 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 fastpaced, collaborative environment where experimentation and iteration are encouraged.
Data & Analytics Background:
10+ years in Data & Analytics, delivering enterprisescale data and ML solutions.
Experience designing feature stores, MLready semantic layers, and productiongrade data assets.
Ability to integrate ML outputs into analytics tools and businessfacing 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.

Secondary Skills - Nice to Haves

• Statistical model
• Tensorflow
• Big data

Job Description

Overview:
We are seeking a Senior ML Engineer with strong data engineering foundations and deep experience building MLready 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 enterprisescale machine learning.
You will design and implement scalable ML pipelines, ensure highquality data flows from ingestion to the Gold Layer, and collaborate across teams to deliver intelligent, datadriven solutions.
Key Responsibilities:
Lead the development and maturity of the Modern ML & Data Platform.
Architect and maintain endtoend 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 MLready 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:
Selfstarter
Problem Analysis & Judgment
Decisiveness & Risk Taking
Planning & Organization
Delegation & FollowUp
Communication & Persuasiveness
Adaptability & Drive
Continuous Learning & SelfDevelopment

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 customerfacing applications and enterprise decisionmaking.

Work Environment

Hybrid 3 4 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 MLready 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.