United States

Data Jobs in United States

3,254 jobs found

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29d ago

Sr. AI Engineer

Qualcomm Santa Clara, CA

Santa Clara, CA

29d ago

$129k - $194k/yr Full time AI Ai Engineer Ai Ml

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Job Description

Qualcomm is hiring an AI Model Training Engineer to design, train, fine-tune, and optimize machine learning models in an onsite role in Santa Clara, CA.

Build and train machine learning and deep learning models using structured and unstructured datasets
Fine-tune pre-trained models for downstream tasks, including object detection, classification, LLMs, and vision transformers
Design training pipelines focused on reproducibility, efficiency, and scalability
Run hyperparameter optimization, model evaluation, and performance tuning
Partner with data engineering to work with high-quality, well-labeled, and balanced datasets
Monitor training runs to identify failure modes such as overfitting, underfitting, or bias
Stay current with latest research and incorporate state-of-the-art approaches into training workflows
Document work including models, training strategies, and experiment results for internal knowledge sharing and compliance

Requirements

Education and experience (choose one):
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field plus 2+ years of Software Engineering or related work experience
- Master’s degree in Engineering, Information Systems, Computer Science, or related field plus 1+ year of Software Engineering or related work experience
- PhD in Engineering, Information Systems, Computer Science, or related field
Experience: 2+ years of academic or work experience programming with C, C++, Java, Python, or similar languages

Technologies

C, C++, Java, Python
PyTorch
onnxruntime
Hugging Face Transformers
scikit-learn, NumPy
GPU/TPU
Distributed training frameworks
LLMs, vision transformers
Cloud-based ML platforms
CI/CD
Containerization
Model versioning
MLOps

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field
Experience training machine learning models with PyTorch, onnxruntime, or Hugging Face Transformers
Proficiency in Python and experience with ML libraries such as PyTorch, scikit-learn, and NumPy
Understanding of training best practices including dataset management, batching, checkpointing, and loss functions
Experience training in GPU/TPU environments and with distributed training frameworks (including PyTorch, onnxruntime)
Experience training large-scale models (such as LLMs or multimodal models) and/or using cloud-based ML platforms
Knowledge of MLOps practices including CI/CD, containerization, and model versioning
Experience with performance profiling and memory optimization for training workflows
Exposure to ethical AI practices, including fairness, explainability, and model auditing

Compensation and Benefits

Base pay range: USD 129,300 to 193,900 per year
Annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

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29d ago

Senior Automation Engineer - AI & Intelligent Automation

Nvizion Solutions Pvt. Ltd Atlanta, GA

Atlanta, GA

29d ago

Full time Senior Artificial Intelligence Automation

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Job Description

Nvizion Solutions Pvt. Ltd is seeking a Senior Automation Engineer focused on AI and Intelligent Automation for onsite work in Atlanta, GA. In this role, you will design, develop, and implement automation across Oracle HCM Cloud applications, using integrations, workflow automation, RPA, and AI/Generative AI capabilities to strengthen HR operations.

You will be responsible for improving operational efficiency by reducing manual effort, enhancing data quality, and enabling more informed HR decisions through analytics, dashboards, and automated alerts.

What You’ll Do

Design and implement automation solutions for Oracle HCM Cloud business processes.
Analyze HR operations to uncover opportunities for process automation and optimization.
Develop and maintain integrations using Oracle Integration Cloud (OIC), REST APIs, SOAP services, and HCM Extracts.
Configure and automate workflows across modules including Core HR, Talent Management, Recruiting, Compensation, Benefits, Payroll, and Learning.
Build and maintain automated data validation, reconciliation, and reporting solutions.
Develop RPA solutions using tools such as UiPath, Automation Anywhere, Power Automate, or similar platforms.
Use AI and Generative AI capabilities to enhance HR service delivery, employee self-service, and workforce analytics.
Create automated dashboards and alerts with Oracle Transactional Business Intelligence (OTBI) and BI Publisher.
Collaborate with HR business stakeholders to gather requirements and translate them into technical solutions.
Ensure compliance with security, privacy, and regulatory requirements.
Support Oracle HCM quarterly release testing, automation, and deployment activities.
Document automation frameworks, technical designs, and operational procedures.

Core Requirements

Bachelor’s degree in Computer Science, Information Technology, Human Resources Information Systems, or a related field.
5+ years of experience working with Oracle HCM Cloud.
Strong understanding of Oracle HCM modules: Core HR, Talent Management, Recruiting, Compensation, Benefits, Payroll, Learning, and Absence Management.
Experience with Oracle Integration Cloud (OIC).
Strong knowledge of REST APIs, SOAP Web Services, HDL, HSDL, and HCM Extracts.
Experience with automation tools including UiPath, Automation Anywhere, Microsoft Power Automate, and Oracle Process Automation.
Experience with SQL, PL/SQL, XML, XSLT, and data integration concepts.
Strong problem-solving and analytical skills.
Excellent communication and stakeholder management abilities.

AI and Intelligent Automation Experience

Implement Generative AI use cases for HR service automation.
Develop AI-powered chatbots and virtual assistants for employee support.
Automate resume screening and candidate matching processes.
Build predictive workforce analytics and HR insights solutions.
Implement document intelligence and automated HR case management.
Leverage Microsoft Copilot, Azure AI, Oracle AI Services, or OpenAI technologies to enhance HR experiences.

Preferred Qualifications

Experience implementing AI/ML-driven HR solutions.
Familiarity with Oracle Digital Assistant (ODA) and conversational AI.
Experience integrating Oracle HCM with ERP, ServiceNow, Workday, Salesforce, or other third-party applications.
Knowledge of HR business processes and workforce management.
Oracle Cloud certifications preferred.

Technologies You’ll Work With

Oracle HCM Cloud
Oracle Integration Cloud (OIC)
REST APIs, SOAP services, HCM Extracts
Core HR, Talent Management, Recruiting, Compensation, Benefits, Payroll, Learning, Absence Management
UiPath, Automation Anywhere, Microsoft Power Automate, Oracle Process Automation
Oracle Transactional Business Intelligence (OTBI), BI Publisher
SQL, PL/SQL, XML, XSLT, HDL, HSDL, JSON, Python
Generative AI, Oracle AI Services, Azure OpenAI, Microsoft Copilot
Machine Learning Concepts
Oracle Digital Assistant (ODA), Microsoft Power Platform, Power Platform, Azure AI, OpenAI
RPA Frameworks, Oracle Cloud Infrastructure, Oracle Digital Assistant
Relevant certifications including: UiPath Certified Professional, Microsoft Power Platform Certification, Azure AI Engineer Associate, Oracle Cloud HCM Certification, Oracle Integration Cloud Certification, Oracle Cloud Infrastructure Certification

Additional Information

Location: Atlanta, GA (onsite)
Experience: Oracle HCM: 3 years (Required)
Education: Bachelor’s degree in the specified fields
Travel: 50% (Preferred)
Work mode: In person

Competencies

HR Digital Transformation
Intelligent Process Automation
AI-Driven Innovation
Solution Architecture
Stakeholder Management
Process Optimization
Problem Solving
Agile Delivery
Leadership and Collaboration

Nice-to-Have Industry Experience

Healthcare
Life Sciences
Financial Services
Retail
Manufacturing
Public Sector

Preferred Certifications

Oracle Cloud HCM Certification
Oracle Integration Cloud Certification
UiPath Certified Professional
Microsoft Power Platform Certification
Azure AI Engineer Associate
Oracle Cloud Infrastructure Certification

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29d ago

AI Engineer

GEI Consultants Dallas, TX

Dallas, TX

29d ago

$110k - $150k/yr Full time Analytics Artificial Intelligence Azure

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Job Description

GEI Consultants is seeking an AI Engineer to develop, deploy, and integrate AI solutions into business workflows. In this role, you will help deliver AI Solutions Factory use cases by implementing production-ready capabilities that are secure, scalable, maintainable, and measurable for reliability, performance, and cost.

This position is based in Dallas, TX with onsite work arrangements. The pay range for this role is $110,000.00–$150,000.00 per year, and candidates should have 4+ years of relevant software engineering experience, including hands-on work building Generative AI applications.

Responsibilities

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Securely integrate enterprise data sources, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Requirements

4+ years of software engineering experience, including at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, plus other frameworks such as Databricks Mosaic.
Knowledge of big data technologies such as Spark and Databricks; TensorFlow and PyTorch are a plus.
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and how they integrate with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Technologies

Python, PySpark, R, SQL
Generative AI, Large Language Models (LLMs)
Copilot technologies, Copilot Studio
Azure Functions
Azure AI library APIs (GPT, Codex, DALL·E)
Databricks Mosaic, Spark, Databricks
TensorFlow, PyTorch
Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services
Power BI
Retrieval-augmented generation (RAG)
APIs, Graph connectors, event-driven patterns

Benefits

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus.
Pay Range For This Position: $110,000.00–$150,000.00/year.
Comprehensive Benefits Program including Medical, Dental, Vision, Life, Disability, and more.
Well-Being Program and Paid Parental Leave.
Commuter Benefits.
Hybrid Work Schedules and Cell Phone Stipends.
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement.
Connecting Conversation Program focused on Professional Development and opportunities for Advancement.
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses.
Paid Holidays and a Generous Paid Time Off Program.
Rewards and Recognition.
GEI-Funded Profit Sharing and 401(k).
Opportunity to be an Owner and Shareholder.
A vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.

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29d ago

Data Scientist

Adobe Seattle, WA

Seattle, WA

29d ago

$133k - $236k/yr Full time Artificial Intelligence Business Analytics Data

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Job Description

Adobe Express is seeking a hands-on Data Scientist in Seattle, WA, working onsite to turn product and business questions into measurable outcomes. In this role, you will partner with product managers, growth marketers, and leadership to advance analytics leadership, machine learning strategy, and experimentation, while strengthening instrumentation and data capture across teams.

What you’ll do

Explore Adobe Express data deeply to identify new product and business opportunities.
Develop and deliver a machine learning strategy and roadmap.
Collaborate with product development teams and leadership to shape business strategy and product roadmaps based on analytical insights.
Design, implement, and analyze A/B experiments.
Create comprehensive reporting and actionable insights to support product improvements.
Support data science and product teams by promoting experimentation and sharing findings that can drive innovation.
Work with development teams on product instrumentation, user flow analysis, and data capture to maintain reliable data foundations.

What you bring

A degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering.
Advanced degrees are preferred.
2+ years of hands-on technical experience in a data science role.
Proven ability to work with large datasets, derive meaningful insights, and apply them to real-world results.
Experience with ML modeling and data inference is highly desirable.
Strong skills in understanding data combined with creative, problem-solving thinking.
Demonstrated experience translating analyses into insights and communicating them effectively to product and commercial leaders.
Self-starter mindset, ownership, and follow-through to resolve problems thoroughly and proactively.

Pay range and location

U.S.: $133,100 - $236,400 per year
California: $163,200 - $236,400 per year
Washington: $157,900 - $228,575 per year

Additional notes: For sales roles, starting salaries are expressed as total target compensation (TTC = base + commission). For non-sales roles, starting salaries are expressed as base salary with short-term incentives provided via the Annual Incentive Plan (AIP).

Interview and compliance

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation.
California: Adobe will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.
Colorado: If the role is open to hiring in Colorado, the application window will remain open until at least the date and time stated on the job posting in Pacific Time, consistent with Colorado pay transparency regulations.
Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

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29d ago

Data Scientist

Blu Omega Washington, DC

Washington, DC

29d ago

$120k - $180k/yr Full time Big Data Data Analysis Data Analytics

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Job Description

Blu Omega is hiring a Data Scientist for an onsite role in Washington, DC supporting a federal financial data analysis program.

Responsibilities

Retrieve, process, and analyze large-scale financial datasets, including Bank Secrecy Act data and related transaction information
Perform entity resolution and data cleansing to maintain data quality and integrity across large datasets
Develop and implement analytical models and algorithms using quantitative techniques such as:
- Statistical sampling
- Regression analysis
- Link analysis
- Geospatial analysis
- Social network analysis
- Data mining
Query, filter, and visualize data using agency tools and platforms, including BSA Search and Transaction Grid Search
Build custom datasets, queries, and code to support analytical workflows and reporting needs
Communicate project progress, analytical findings, and recommendations to senior management and stakeholders

Requirements

Experience working with large-scale financial data environments, including transactional data from SWIFT, CHIPS, and book transfer systems
Knowledge of Bank Secrecy Act data, including SARs, CTRs, and Form 8300 filings
Proficiency with Python and Jupyter Notebook, plus R, NumPy, pandas, and scikit-learn
Strong foundation in statistical methods and data analysis techniques
Ability to analyze large datasets to identify trends and patterns and deliver actionable insights

Technologies

Python
Jupyter Notebook
R
NumPy
pandas
scikit-learn

Key Details

Location: Washington, DC (onsite)
Clearance: Active Top Secret clearance required

Preferred Qualifications

Experience in data mapping, cleansing, and data validation
Understanding of international bank wire transfer formats, including SWIFT, CHIPS, and book transfer systems
Experience communicating analytical results to senior leaders and stakeholders
Ability to work effectively in a team environment and manage multiple priorities

Compensation

Salary Range: USD 120,000 - 180,000 per yearly
Final compensation depends on technical skills, experience, education, certifications, and clearance

Benefits

Medical, Dental, and Vision coverage through national providers
401(k) with company match (eligible after 6 months; vesting applies)
Company-paid Life and AD& D insurance with additional voluntary options
Short-term disability (company-paid) and long-term disability options
Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
Telehealth and virtual care options available through medical plans
Pet insurance, legal services, and identity theft protection options
Paid Time Off (PTO) for eligible employees
Paid federal holidays for salaried employees
Access to wellness programs, discounts, and lifestyle benefits
Benefits eligibility and offerings may vary based on role, employment status, and program requirements

Company Overview

Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide
Headquartered in Ashburn, VA, supporting mission-critical programs across civilian and defense sectors
Focus areas include health, national security, and regulatory environments

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29d ago

Healthcare Navigation Data Scientist

Alight Round Lake, IL 🇺🇸 Remote

Round Lake, IL

29d ago

$100k - $135k/yr Full time Data Analysis Data Analytics Data Integration

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Job Description

Alight is seeking a Healthcare Navigation Data Scientist to strengthen provider search, recommendation, and value measurement capabilities within its Health Navigation platform. The role applies healthcare data analysis, predictive modeling, and analytics to improve provider recommendations, identify cost and utilization insights, and support measurable client value.

Responsibilities

Analyze healthcare and book-of-business data to uncover cost drivers, utilization trends, and opportunities to improve member outcomes while reducing healthcare spend.
Develop and enhance provider scoring, ranking, and recommendation approaches, including methods that consider cost, quality, specialty alignment, and provider experience.
Integrate and transform complex healthcare datasets, including claims, provider, pricing, and network data, to enable analytics and modeling initiatives.
Build, validate, and optimize statistical, predictive, and machine learning models that improve provider search relevance and personalization.
Assess business rules, scoring outputs, and recommendation performance to ensure alignment with clinical and business objectives.
Track key performance metrics, identify continuous improvement opportunities, and recommend enhancements to data sources, models, and processes.
Collaborate cross-functionally with Product, Engineering, Clinical, and Business teams to convert analytical insights into actionable solutions and measurable business value.

Requirements

Experience working with large, complex datasets using SQL and Python and/or R.
Experience building data models, scoring frameworks, predictive analytics, or machine learning solutions.
Knowledge of healthcare datasets and concepts, including claims data, CPT, ICD, NPI, provider networks, and healthcare pricing.
Understanding of healthcare cost drivers, utilization analytics, quality measures, and provider performance metrics.
Analytical, problem-solving, and communication skills with the ability to translate complex findings into business insights.
Experience with provider search, recommendation systems, ranking models, or personalization algorithms.
Knowledge of clinical quality measures such as HEDIS, CMS, or related healthcare standards.
Experience applying machine learning techniques in healthcare, health technology, or navigation contexts.
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field.
Advanced degree preferred.

Technologies

SQL
Python
R
Machine learning

Compensation

Salary pay range: USD 100,000 - 135,000 per year
Minimum: 100,000.00 USD
Maximum: 135,000.00 USD

Benefits

Health, dental and vision coverages starting Day One
Wellbeing programs
Retirement plans with contribution matching
Generous time off
Parental leave
Continuing education
Career growth opportunities
Competitive total rewards package
Continuing education & training

Application and Interview Details

Background check consistent with Alight’s employment policies may include SSN/SIN validation, education verification, employment verification, and criminal check, plus search against global sanctions and government watch lists, credit check, and/or drug test.
Virtual interviews must be conducted on video.
May require occasional travel to one of Alight’s physical office locations.

Location

Illinois (remote)

Authorization to Work

Applicants must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight.

Our Commitment to Inclusion

Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, contact alightcareers@alight.com.

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29d ago

Data Scientist

CACI Bethesda, MD

Bethesda, MD

29d ago

$67k - $133k/yr Full time Analytics Artificial Intelligence Data

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Job Description

As a Data Scientist with CACI at the Naval Surface Warfare Center Carderock Division (NSWCCD) in Bethesda, MD, you will support the expansion of maintenance detection algorithms for Boeing F/A-18 aircraft. This onsite role focuses on anomaly detection and machine learning models that help inform maintenance actions and support Navy fleet readiness.

Role Scope

The position centers on developing data-driven approaches to identify unusual aircraft behavior and detect component failures or malfunctions. You will work with aircraft sensor data, maintenance records, and operational information to build models that can contribute to more effective maintenance workflows.

Responsibilities

Collect, clean, and preprocess large datasets from aircraft sensors, maintenance logs, and operational data.
Develop clean, efficient, and scalable code using best practices and coding standards to support maintainability and long-term application performance.
Conduct exploratory data analysis to uncover trends, patterns, and anomalies in aircraft performance and maintenance datasets.
Design and implement anomaly detection algorithms to identify unusual behavior within aircraft data.
Create machine learning models aimed at detecting component failures or malfunctions.
Collaborate with Aerospace Engineers, Software Engineers, Maintenance Personnel, and other project stakeholders.

Required Qualifications

Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or Computer Science.
0-3 years of job experience.
Strong knowledge of MATLAB and Python.
Strong problem-solving skills and the ability to work independently and in a collaborative team environment.
Excellent communication skills and attention to detail.
Candidate must be a US Citizen and able to obtain a DoD Secret clearance.