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796 jobs found

Today

Machine Learning Engineer II

7-Eleven Irving, TX

Irving, TX

Today

Full time Ai Ml Artificial Intelligence Azure Data Factory

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Job Description

Machine Learning Engineer II role focused on turning store telemetry and large datasets into scalable, actionable machine learning insights.

Responsibilities

Design, develop, test, and deploy machine learning models and data-driven solutions using store equipment telemetry data to produce actionable insights.
Build and optimize scalable data pipelines in enterprise environments using Python, PySpark, and Azure-based technologies.
Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
Collaborate with data engineers, data scientists, product owners, and business stakeholders to convert business requirements into technical solutions.
Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
Apply MLOps best practices for model deployment, monitoring, and lifecycle management.
Create visualizations, dashboards, and presentations to communicate insights and recommendations to both technical and non-technical audiences.
Participate in code reviews, technical design discussions, and continuous improvement efforts.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
5+ years delivering big data and machine learning solutions in enterprise environments.
Strong programming background in Python and PySpark.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
Experience building, training, validating, and deploying machine learning models.
Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
Experience working with large-scale datasets and cloud-native architectures.
Strong analytical, problem-solving, and communication skills.

Technology Stack

Python, PySpark, Azure
Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS)
Git, Azure DevOps
Power BI, Tableau

Preferred Qualifications

Experience deploying and operationalizing machine learning models in Azure Databricks.
Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Experience working with equipment telemetry data or on equipment maintenance projects.
Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, and Logistic Regression.
Decision Trees and Random Forests.
Gradient boosting techniques including XGBoost.
K-Nearest Neighbors (KNN).
Support Vector Machines (SVM).
Artificial Neural Networks (ANN) and deep learning concepts.
Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset with a commitment to high-quality delivery.
Ability to communicate complex technical concepts to diverse stakeholder groups.
Passion for continuous learning and innovation in machine learning and cloud technologies.

Location: Irving, TX (onsite)

Experience: 5 years minimum

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Today

Machine Learning Engineer

Molex Austin, TX

Austin, TX

Today

$170k - $250k/yr Full time Python Artificial Intelligence Azure Gpu Compute

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Job Description

Molex is looking for a Machine Learning Engineer to build physics-informed surrogate models that help engineering teams move faster. This role focuses on using Azure Machine Learning and Azure GPU compute (ND/NC series) to predict simulation outcomes from design parameters, reducing the need to run every full high-fidelity simulation. You will deploy, monitor, and continuously improve models using uncertainty scoring and retraining as new validation results come in.

What you’ll do

Design and train surrogate models such as neural networks, Gaussian processes, gradient-boosted trees, and GNNs/PINNs using Azure GPU compute.
Apply physics-informed constraints so predictions remain physically valid, not just statistically accurate.
Implement model uncertainty and confidence scoring to determine which designs require full simulation validation, then feed results back into the training cycle.
Deploy and version models through Azure ML endpoints and model registry, with rolling drift monitoring.
Benchmark surrogate model performance against full simulation to quantify speedup and support platform-level optimization.

What you bring

Extensive hands-on production ML experience, including building, training, and deploying models (not just integrating pretrained APIs).
10+ years building ML for physical and engineering systems, including surrogate modeling, physics-informed ML, or scientific ML.
Strong Python skills with PyTorch or TensorFlow.
Working understanding of relevant engineering/physics fundamentals and the simulation data formats for your domain.
Experience with Azure Machine Learning or a similar cloud ML platform.
Familiarity with uncertainty quantification, including Bayesian approaches and ensembling.

Tools and technologies

Azure Machine Learning, Azure GPU compute (ND/NC series), Python, PyTorch, TensorFlow, Azure ML endpoints, model registry, neural networks, Gaussian processes, gradient-boosted trees, GNNs, PINNs, Bayesian approaches, ensembling.

Compensation and location

Austin, TX (onsite) · USD 170,000 - 250,000 per year · 10+ years minimum experience.

Benefits

Medical, dental, and vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
May also include infertility assistance
Paid parental leave and adoption assistance

What will put you ahead

Direct experience with industry-standard EM or physics simulation tools
Geometric deep learning for CAD data, including graph neural networks and mesh-based models
Background in RF/high-speed electronics or interconnect design

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1d ago

Data Engineer

ComputerPeople Staffing Buffalo, NY

Buffalo, NY

1d ago

$100k - $135k/yr Full time Backend Developer Analytics Big Data

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Job Description

ComputerPeople Staffing is hiring a Senior Data Engineer (Direct Hire) for a hybrid role in Buffalo, NY. This is an opportunity to build a centralized enterprise data platform from scratch during a transformation to Oracle Cloud Fusion, taking ownership of Oracle Fusion Data Intelligence (OFDI) and delivering data foundations that support analytics-ready reporting.

You’ll shape end-to-end data architecture, integration patterns, and ETL/ELT pipelines across multiple enterprise systems, with the platform serving as an analytics hub for teams consuming data through Power BI and Oracle Analytics Cloud.

Responsibilities

Act as the primary technical owner of Oracle Fusion Data Intelligence (OFDI), standing up, configuring, and evolving it as the enterprise analytics hub.
Independently design the enterprise data architecture, including data modeling, repository structure, and segmentation strategy across disparate sources such as SAP, on-prem Oracle, SQL Server, and GIS.
Design and build scalable ETL/ELT pipelines to ingest data from multiple systems into a centralized data warehouse.
Develop and maintain integrations using Oracle Integration Cloud (OIC) as enterprise middleware.
Lead the move away from legacy flat file integrations toward API-based, event-driven data flows.
Implement data quality checks, reconciliation, and monitoring to support auditability and regulatory compliance.
Curate trusted, analytics-ready datasets for downstream BI tools, including Power BI and Oracle Analytics Cloud.
Build and maintain semantic data models and data mappings to enable self-service reporting and enterprise analytics initiatives.
Collaborate with application and business teams to define data requirements across operational, financial, regulatory, and customer domains.
Establish data governance frameworks, data lineage documentation, and data quality standards from the ground up.
Document data flows, technical designs, and integration specifications for long-term maintainability.
Partner with enterprise architecture and application teams to align solutions with enterprise standards.
Evaluate and recommend supplemental data tools (for example, Microsoft Fabric) with meaningful input into tooling decisions.
Operate with high autonomy in a self-directed capacity; minimal technical oversight exists above this role, and there is currently no internal mentor for this specific skill set.
Identify gaps in the team’s future capability needs and contribute to hiring decisions as the function grows.

Requirements

Demonstrated experience independently designing and building ETL/ELT pipelines and data architecture for enterprise environments, including relational and cloud-based work, not only executing an existing design.
7+ years of professional experience in data engineering, data integration, or analytics engineering roles.
Strong SQL skills and hands-on experience with relational database platforms such as Oracle, SQL Server, or similar.
Experience pulling from multiple disparate systems (ERP, CRM, CIS, asset management, or similar) into a unified data model.
Scripting proficiency in Python, PowerShell, or similar to support pipeline automation.
Familiarity with cloud-based enterprise platforms and hybrid on-prem/cloud architectures.
Strong instincts for data quality, auditability, and governance.
Knowledge of enterprise integration and data architecture design patterns.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

Technology

Oracle Fusion Data Intelligence (OFDI), Oracle Cloud Fusion, Oracle Integration Cloud (OIC), Power BI, Oracle Analytics Cloud, Microsoft Fabric, SAP, SQL Server, Oracle, GIS, ETL, ELT, Python, PowerShell, API-based, event-driven data flows, Informatica, Boomi, SSIS, Talend, MuleSoft

Benefits

Annual Bonus Program
Low cost medical and dental premiums
Very generous Paid Time Off
401K match plus an additional Company Funded Retirement Savings Account, even if you do not contribute to 401K
Leadership training program
Management dedicated to career success, with flexibility when life happens
Positive, collaborative work culture
Health insurance
Health savings account
Life insurance
Vision insurance
Flexible schedule
Retirement plan
Dental insurance
Paid time off
401(k) matching

Salary: USD 100,000 - 135,000 per year.
Experience: 7+ years required.
Location: Buffalo, NY 14221 (Required).
Work model: Hybrid.

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1d ago

Senior Software Engineer AI Platforms

Cisco Systems, Inc. Austin, TX

Austin, TX

1d ago

$151k - $222k/yr Full time Backend Developer Ai Platforms APIs

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Job Description

Cisco Security AI is hiring a Senior Software Engineer to lead AI platform engineering and API development.

Responsibilities

Provide technical leadership by guiding and mentoring a team of Software Engineers to drive technical excellence in API development and cloud deployment
Design, build, and maintain APIs that expose AI capabilities to other teams with a focus on scalability, reliability, and usability
Partner with data scientists and AI engineers to integrate AI models and algorithms into the platform and make them accessible via APIs
Use Kubernetes expertise to architect and optimize orchestration and deployment of AI services in containerized environments
Lead deployment and ongoing management of AI services on AWS, Google Cloud, and Azure to support scalability, security, and cost optimization
Detect and resolve performance bottlenecks to improve response times and resource utilization
Implement monitoring and logging to track deployed AI service performance and health for faster issue resolution
Ensure AI services and APIs meet security and compliance requirements by collaborating with security teams on the necessary controls
Create clear, comprehensive documentation covering APIs and deployment processes so teams can effectively use the platform

Requirements

5+ years of experience as a Senior Software Engineer with a strong background building SaaS services at scale using API-first design and demonstrated technical leadership
5+ years of coding experience in Python, Java, Go and/or C/C++
BA/BS degree with 4+ years of experience, or MS degree with 2+ years of experience as a software development engineer

Technologies

Kubernetes
Python
Java
Go
C/C++
AWS
Google Cloud
Azure
Docker
Kafka
Redis

Preferred Qualifications

Familiarity with AI and machine learning concepts and the ability to collaborate with data scientists and AI engineers
Experience delivering with Docker platform tools or similar tooling
Experience building distributed systems using Kafka, Redis, or similar technologies
Experience developing cloud infrastructure services on AWS, Google Cloud, and/or Azure
Experience using Kubernetes architecture
Knowledge of security and compliance standards

Benefits

U.S. employees access to quality medical, dental, and vision insurance
401(k) plan with Cisco matching contribution
Short- and long-term disability coverage
Basic life insurance
Numerous wellbeing offerings
Up to twelve paid holidays per calendar year (including one floating holiday, plus a day off for their birthday)
Accrue up to 20 days of Paid Time Off (PTO) each year
Access to paid time away to handle critical or emergency issues without using PTO
Additional paid time to volunteer and give back to the community
Employee Stock Purchase Program
Performance-based incentive pay on top of base salary for sales plan components (quota/non-quota)

Location: Austin, TX (onsite) | Salary: USD 150,900 - 222,200 per year

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1d ago

Golang Developer

Basin Upfitting West Valley City, UT

West Valley City, UT

1d ago

$72k - $120k/yr Full time Backend Developer API APIs

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Job Description

Design, build, and maintain Go backend microservices for a Linux-based environment at a West Valley City, UT onsite team.

Responsibilities

Review and understand requirements, then design, develop, and maintain Golang backend services to meet those needs.
Design, build, and maintain backend microservices, including services architected and developed from scratch.
Collaborate with other developers, QA, and management to review, verify, and test code before release.
Plan and execute database migrations and schema changes, updating related application code as needed.
Follow established best practices for source code repository management, unit testing, and the application release cycle.
Communicate directly with clients to address issues, respond to queries, and provide status updates.
Track and manage assigned work using the team’s project management tooling.

Requirements

Minimum 5 years of professional experience programming in Go (Golang), with applications running on Linux servers.
Proven experience with microservices architecture, Kubernetes, and Docker.
Proficient with GitHub for version control and team collaboration.
Expert-level database skills with hands-on experience in PostgreSQL.
Experience with database migrations, schema changes, and related code modifications.
Experience with gRPC and Protobuf for inter-service communication.
Experience with Redis for caching.
Experience with event-driven / message-driven architectures using systems such as NATS, Kafka, RabbitMQ, or similar pub-sub platforms.
Bachelor’s degree required.

Technologies

Go (Golang), Linux
Microservices architecture, Kubernetes, Docker
GitHub
PostgreSQL
gRPC, Protobuf
Redis
NATS, Kafka, RabbitMQ
Helm charts
GKE / Google Cloud
OpenTelemetry, Prometheus, Grafana
OpenAI

Experience

Minimum 5 years of overall professional software engineering experience, with a strong focus on Golang and backend systems.

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance
Professional development assistance

Nice to Have

Experience with JIRA or other task/project management tools.
Experience with GitHub Actions or similar CI/CD pipelines.
Experience deploying via Helm charts on GKE / Google Cloud.
Exposure to distributed tracing and observability tooling: OpenTelemetry, Prometheus, Grafana.
Exposure to integrating LLM/AI APIs or third-party AI services (for example, OpenAI) into backend systems.

Soft Skills / Competencies

Ability to multitask across competing priorities and deadlines.
Positive, empathetic, and professional attitude toward colleagues and clients.
Strong command of written and spoken US English (reading, writing, and speaking).
Flexible and willing to take on additional responsibilities; able to work independently with minimal supervision.
Eager to collaborate with clients and developers to enhance overall client satisfaction.

Location: West Valley City, UT (onsite)

Compensation: USD 72,485 - 120,000 per year

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1d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

1d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Suncoast Credit Union seeks a Senior Data Engineer to design, evaluate, and test data infrastructure that turns raw inputs into usable information. This role supports ETL pipelines, data modeling and governance, analytics, and natural language processing capabilities, with close collaboration across business teams.

Key Responsibilities

Build systems and infrastructures to collect and process data aligned to company goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction.
Use existing data infrastructure to fulfill data requests, including data housekeeping, cleansing, normalization, hashing, and implementation of required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot data platform and pipeline issues, identify potential solutions, and resolve accordingly.
Partner with business counterparts to define requirements for provisioned data and update defined requirement document templates.
Work with the manager to translate business requirements into schema and data model decisions.
Ensure design efficiency to minimize data refresh lag between systems so reporting stays timely.
Deploy data architectures based on manager-established standards that support Suncoast’s data strategy and information architecture needs.
Follow measurable processes, tools, and engineered data management solutions supporting data platforms such as data warehouse, data lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it into a usable format, and load it into data platforms.
Establish data governance and quality best practices and standard operating procedures.
Utilize Azure Data Factory to create pipelines for creating, moving, and transforming data across the data stack.
Architect advanced data solutions for current and future data processes.
Provide mentorship to teammates and offer advisory support.
Maintain knowledge of current trends, laws, and issues affecting the area of expertise.
Attend educational events to support professional development.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Required Qualifications

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field (a comparable combination of work experience and training may substitute).
7+ years of experience making data usable to end users in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, optimization and indexing, and foundational knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact SQL.
Microsoft Azure experience (5 years): portal and resource navigation.
Azure Data Factory experience (5 years): developing pipelines, pipeline activities, troubleshooting, and related tasks.
Experience with REST API.
Experience with GitHub for creating, updating, and submitting code.
Agile methodology experience (1 year), including Kanban and limiting work in progress.
Experience developing ETL processes.
Experience with Delta Lakes and Lakehouse Architecture.
2+ years of experience designing data structures for a production environment.
Ability to prioritize tasks amid competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized with task management.
Ability to analyze and resolve difficult and often complex problems.
Strong written, verbal, and interpersonal communication skills for working with members, staff, vendors, and government regulators.
Strong knowledge and understanding of credit union products, services, policies, and procedures.
Strong knowledge and understanding of regulatory compliance.
Strong knowledge and understanding of credit union computer systems and required software applications.

Technologies

Microsoft SQL Server, SSRS, SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Employment Details

Salary Range: USD 86,000 - 115,000 per year (based on credentials and experience).

Position Type: Full Time

Location: Remote (candidate must reside in Florida)

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

For more information, including additional benefits, visit the benefits website: https://careers.suncoastcreditunion.com/benefits.

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace due to an inclusive culture focused on growth and community. For more information, visit the careers site: https://careers.suncoastcreditunion.com/.

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1d ago

Data Engineer

Baker Group Ankeny, IA

Ankeny, IA

1d ago

Full time Azure Data Factory Azure Data Platform Azure Platform

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Job Description

Baker Group is looking for a data engineer to design, build, and maintain the data pipelines and infrastructure that power analytics and AI use cases on Microsoft Fabric. In this role, you will help establish Baker Group’s data platform as a single source of truth, covering ingestion, transformation, orchestration, governance, and preparation for reporting and machine learning.

This onsite position is based in Ankeny, IA, and it’s ideal for someone with strong ETL/ELT and SQL experience who can own data quality and reliability across end-to-end workflows.

What you’ll do

Design, build, and maintain ETL/ELT pipelines that ingest data from enterprise systems into Microsoft Fabric.
Architect and maintain the Fabric medallion Lakehouse structure (bronze, silver, gold) as Baker Group’s single source of truth.
Develop best practices for the data infrastructure and environment, including Development/Test/Production setups and Git-based version control.
Own pipeline orchestration, scheduling, and monitoring to support reliable and timely data availability.
Curate and maintain core datasets across employee, finance, project, service, and manufacturing domains.
Establish and enforce data quality, validation, and reconciliation processes across pipelines.
Design and manage data models, schemas, and semantic layers for Data Analyst reporting and Data Scientist modeling.
Define and maintain data ontologies and canonical business definitions (for example, “project,” “employee,” or “cost code”) to ensure consistent meaning.
Prepare data for AI and machine learning use cases, including feature-ready datasets, retrieval-augmented generation (RAG) pipelines, and vector embedding storage.
Manage Fabric capacity planning, workspace organization, and performance optimization.
Implement data governance practices aligned with Baker Group’s data classification standards, including access controls, lineage tracking, and metadata management.
Partner with business system owners (ERP, HRIS, MRP, and others) to understand upstream structures and manage change impacts.
Collaborate with Data Scientists and Data Analysts to ensure pipeline outputs support modeling and paginated reporting, dashboards, and self-service BI.
Collaborate with Software Development and DevOps teams so data products support application development needs.
Coordinate with 3rd party consultants when necessary to deliver data engineering projects and extend capacity for demanding needs.
Develop and maintain documentation for pipelines, schemas, and integration logic.
Troubleshoot and resolve pipeline failures, latency issues, and data quality incidents.
Monitor and maintain data-specific infrastructure, including Fabric capacity, pipeline orchestration tools, and monitoring/alerting systems.
Evaluate and recommend new data engineering tools, patterns, and best practices.
Stay current on emerging trends in data engineering, cloud data platforms, and integration techniques.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or another relevant quantitative field.
3+ years of experience in data engineering, ETL/ELT development, or a related field (listed range: three to five years).
Proficiency with SQL and database technologies for data extraction, transformation, and loading.
Experience with Microsoft Fabric, Azure Data Factory, or similar cloud ETL and orchestration tools.
Experience with medallion architecture and modern data warehousing patterns.
Experience using a programming language such as Python, PySpark, or T-SQL for transformation.
Familiarity with data modeling techniques including dimensional modeling and star schema.
Understanding of data governance, data quality, and metadata management practices.

Technologies

Microsoft Fabric
ETL, ELT
Azure Data Factory
Git
SQL
Python
PySpark
T-SQL
Medallion architecture
Dimensional modeling
Star schema
Retrieval-augmented generation (RAG)
Vector embedding storage

Additional notes

Experience preparing data for AI/ML consumption (vector embeddings, RAG architectures) is a plus.
Business acumen and understanding of construction or related industries is a plus.
No specific certificates required; relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar are a plus.
Must have strong analytical and troubleshooting skills, excellent time and project management skills, and strong communication for translating technical data structures to non-technical stakeholders.
Must be able to focus on complex technical problems independently with minimal supervision.
Environmental requirements include prolonged desk work; ability to lift 10 pounds occasionally; and occasional visits to a job site involving standing, walking, and/or climbing stairs.
Equipment includes a computer used for 8 hours a day.