44 ml data engineer jobs at 21 companies in Gainesville, TX
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Senior AI/ML Data Engineer
Frisco, Texas, United States
OnsiteFull Time
Public StorageNYSE: PSA: Self-storage services for residential and commercial customers.
4+ YOEMS with 4+ years or BS with 6+ years in CS, 3+ years building data pipelines with Python, SQL, dbt, experience with streaming systems (Pub/Sub, Dataflow), graph databases, and owning technical decisions.
TeleWorld SolutionsKRX: 005930: Design, deployment, and optimization services for wireless network infrastructure.
7+ YOE7+ years in data science/analytics/engineering, 3-5 years deploying production ML systems, strong Python/R/SQL skills, cloud and big-data experience, ML and statistical expertise, strong communication.
McAfee: Provides cybersecurity and privacy protection software for consumers.
7+ YOE7+ years data engineering experience and 1+ year AI/ML experience; strong knowledge of Spark, Kafka, ETL, Databricks, SQL/NoSQL, cloud platforms (AWS/Azure/GCP), API development (REST/GraphQL), and telemetry/real-time systems.
Compliance - Applied AI/ML Data Scientist - Associate
Jersey City or Plano
$114k-$170k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
2+ YOE2+ years experience with Python,R or Scala; ML/statistical modeling, LLM prompt engineering, cloud data pipelines, model operationalization, and experience with regulated model governance.
McAfee: Provides digital security and privacy software for consumers.
5+ YOE5+ years data engineering experience, 1+ year AI/ML experience, Spark, Kafka, Databricks, SQL/NoSQL, cloud (AWS/Azure/GCP), API (REST/GraphQL), cybersecurity platform and MCP experience.
InfosysNYSE: INFY: Provides IT consulting, software development, and business outsourcing services.
Bachelor's degree or equivalent experience; expertise in generative AI, LLMs, agentic frameworks, Python, cloud AI/ML services, data engineering, ML deployment, and software engineering.
Dallas or Irving or Detroit or Chesterfield or Daphne or Spain or Italy or Denmark or Germany or Poland or North America or Europe
OnsiteFull Time
TERREPOWER: Sustainably manufactures automotive parts and upcycles renewable energy systems.
7+ YOEBachelor's in a related field, 7+ years in data analytics/engineering/BI with leadership experience; hands-on experience with BI tools, SQL, modern data platforms, data governance, and delivering AI/ML solutions.
Power BI, Tableau, Qlik, OBIEE, SQL, Snowflake, Databricks, Microsoft Azure, AWS, GCP, Copilot
Charles SchwabNYSE: SCHW: Financial services, brokerage, and investment management provider.
8+ YOE8+ years data engineering; 4+ years scalable data pipelines; 3+ years AI/ML/NLP; 2+ years containers/cloud; BS in CS/Data Engineering/Math/Analytics.
New York City or Philadelphia or Flower Mound or Denver or Boston
$175k-$200k/yrHybridFull Time
Veho: Provides AI-powered last-mile delivery services for e-commerce brands.
3+ YOEBachelor's +3 years (or Master's +2) in ML engineering, strong Python and SQL, MLOps pipeline development, cloud (AWS) experience, familiarity with Ray, Flink, Feast, and data warehouses (Redshift, Databricks, Snowflake).
USAA: Provides insurance and banking to the military community.
4+ YOEBachelor's degree or equivalent education/experience and 4+ years in machine learning engineering, data engineering, or software development. Requires Python, SQL, cloud, data pipelines, and ML solutions experience.
Python, SQL, Java, AWS, Google Cloud Platform, graph databases, ML Ops, FastAPI, OpenShift, Snowflake, AWS SageMaker
Fidelity Investments: Provides investment management, retirement planning, and brokerage services.
1+ YOEBachelor's in CS/IT/Engineering or Master's equivalent with 3 yrs (Bachelor) or 1 yr (Master) experience; expertise in data center and cloud networking, routing/switching, SDN, network security, Terraform/CloudFormation, Python, Ansible, and AWS/Azure.
Python, Ansible, Terraform, CloudFormation, Infoblox, AWS, Azure, SDN, IPsec VPN, MPLS, IP routing, DNS, Information Technology Service Management (ITSM), Serverless, Machine Learning (ML), Artificial Intelligence (AI)
NTT DATATokyo Stock Exchange: 9613: Global provider of business and technology consulting and IT services.
6+ YOEBachelor's or equivalent,6+ years in software/data/AI engineering,proficiency in Python and SQL,cloud platform experience,AI/ML and generative AI engineering experience,strong communication and collaboration skills.
Python, SQL, Azure, AWS, Google Cloud, Git, CI/CD, LLM
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
8+ YOE2+ MgmtSenior ML engineer with 8+ years in distributed data solutions; 4+ years Python/Scala/Java; 3+ years ML systems; 2+ years leadership; Masters or Doctorate preferred.
EricssonNasdaq: ERIC: Manufactures telecommunications equipment and provides networking services.
10+ YOEBachelor's in engineering/CS, 10+ years in data center/telecom infrastructure, automation, and large-scale deployments; experience with AI/ML, data lake and platform options; proven strategy and global/matrixed team leadership.
AsureNASDAQ: ASUR: Provides cloud-based human capital management software and payroll services.
Bachelor's or Master's in a technical field, understanding of OOP/data structures, experience with C#, Java, JavaScript/TypeScript or Python, familiarity with web APIs, cloud platforms, Git, and interest in AI/ML.
C#, Java, JavaScript, TypeScript, Python, Git, React, Angular, Vue.js, Microsoft .NET, Node.js, RESTful APIs, AWS, Microsoft Azure, Google Cloud Platform, CI/CD, serverless, NoSQL, relational database, AI
Solera: Integrated software and data for vehicle lifecycle management.
8+ YOE8+ years experience with Angular, Rails, Postgres, C#, MSSQL, K8s/Kubernetes and AI/ML/LLMs in production; strong data processing, algorithms, and problem-solving skills; experience with screen scraping and handling bot detection/CAPTCHA.
NTT DATA: Global provider of IT and business consulting services.
6+ YOEBachelor's degree or equivalent, 6+ years in software/data/AI engineering, hands-on experience with generative AI and ML, proficiency in Python and SQL, cloud platform experience (Azure/AWS/GCP), and familiarity with Git and CI/CD.