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Mlflow Jobs in Texas (NOW HIRING)

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

The role also involves ML deployment using Docker, Kubernetes, MLFlow, and Kubeflow. Responsibilities : • building LLM-based applications • building RAG pipelines • building AI APIs using ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

... MLFlow • ML deployment using Kubeflow Qualifications : Required : • AI/Gen AI - 60% • Python - 25% • ML - 15% • building LLM-based applications • RAG pipelines • AI APIs using Python ...

AI Architect

Winters, TX · On-site

$60.50 - $78/hr

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

You'll work with Kubeflow, MLflow, and custom tooling to make MLOps seamless for our team. Responsibilities * Design and maintain CI/CD pipelines for ML models using GitHub Actions, ArgoCD, and ...

New

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. * Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

... MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL , driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document ...

AI Ops

Dallas, TX · On-site

$129K - $165K/yr

Configure MLflow experiment tracking for auto-logging of parameters, metrics, and artifacts. * Set up identity and access management using Okta SSO, SailPoint entitlements, and persona-based ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git.

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

Delta Lake, MLflow, and workflow orchestration experience. * Agentic development and GenAI experience will be a big plus * Familiarity with ELK (Elastic Kibana) Please note that DE with GenAI ...

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Mlflow information

What is the difference between Mlflow vs Data Scientist?

AspectMlflowData Scientist
Required CredentialsKnowledge of machine learning tools, Python, and data managementDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, model development, cross-functional teams
Employer & Industry UsageTech companies, AI startups, data-driven organizationsVarious industries including tech, finance, healthcare, and retail

While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.

What cities in Texas are hiring for Mlflow jobs?

Cities in Texas with the most Mlflow job openings:

Infographic showing various Mlflow job openings in Texas as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

AI Applied Architect (.NET & Databricks)

Symhas

Dallas, TX • On-site

$47 - $51/hr

Contractor

Re-posted 18 days ago


Job description

Location: Dallas, TX
Duration: 6-month contract
Experience: 8+ years

Work Authorization: Only U.S. Citizens and Green Card holders will be considered. Candidates must be able to work on our W2.

Position Summary

We are seeking an AI Applied Architect with deep .NET expertise and hands-on Databricks experience to lead the design and delivery of enterprise-grade AI and data intelligence systems. The role sits at the intersection of software architecture, applied AI, and modern data engineering — architecting .NET AI applications, designing Databricks lakehouse pipelines, and collaborating with product managers, data scientists, and engineering teams to deliver scalable, governed AI solutions.

Technical Stack
  • Backend: .NET 8 / C#, ASP.NET Core, gRPC, REST APIs
  • AI / LLM: Azure OpenAI, Semantic Kernel, Azure AI Studio
  • Data Platform: Databricks (Delta Lake, MLflow, Unity Catalog, Workflows)
  • Cloud & Infra: Azure Kubernetes Service, Azure Data Factory, Azure Service Bus
  • Vector & Search: Azure AI Search, Pinecone, Qdrant, FAISS
  • Databases: SQL Server, Azure Cosmos DB, PostgreSQL
  • DevOps: GitHub Actions CI/CD, Docker, Kubernetes, Terraform
  • Observability: Azure Monitor, Prometheus, Grafana, MLflow tracking
Responsibilities
  • Architect and deliver end-to-end AI/ML solutions on the .NET ecosystem, integrating Azure AI, OpenAI, and Semantic Kernel
  • Design and own Databricks lakehouse architectures — Medallion (bronze/silver/gold) pipelines, Delta Lake, Unity Catalog governance, and MLflow-based model lifecycle management
  • Lead technical design sessions, define architecture standards, and drive decisions for AI-powered product features
  • Evaluate and recommend frameworks and cloud services for AI workloads — model serving, RAG pipelines, vector stores, agents, and feature engineering on Databricks
  • Establish best practices for AI system reliability, security, observability, and responsible AI governance
  • Mentor senior engineers and provide technical leadership across multiple squads
Required Experience
  • 8+ years of software engineering experience, with at least 3 years in a solutions or enterprise architect role
  • Strong command of C# / .NET (Core / .NET 6/7/8) and cloud-native patterns on Azure
  • Hands-on experience designing and deploying AI/ML systems in production — LLMs, RAG, embeddings, fine-tuning, or agentic architectures
  • Production-grade Databricks experience: Delta Lake, PySpark/SQL, Databricks Workflows, Medallion architecture, Unity Catalog, and MLflow
  • Deep familiarity with microservices, event-driven design, API design, and distributed systems
  • Nice to have: MLOps tooling beyond MLflow (Azure ML, Kubeflow, Databricks Model Serving), vector databases, and background in regulated industries (fintech, healthcare, legal)