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aws sagemaker data scientist

Capgemini

<div><div><div><p>Atlanta</p><div>
AWS SageMaker Data Scientist</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Location : Charlotte, NC</div></div></div><div></div><div><div><div>
Job Description</div></div><div><p>
We are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.</p></div></div><div><div><div>
Must Have Skills :</div></div><div><ul><li>
8+ years of hands-on experience in data science, machine learning, or applied AI.</li><li>
Strong expertise in transformer models, ML architectures, and algorithm development.</li><li>
Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.</li><li>
Advanced programming skills in Python or R.</li><li>
Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.</li></ul></div></div><div><div><div>
Key Responsibilities :</div></div><div><ul><li>
Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.</li><li>
Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.</li><li>
Develop predictive models and statistical analyses using Python, R, or similar tools.</li><li>
Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.</li><li>
Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.</li><li>
Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.</li><li>
Work with stakeholders to translate business objectives into data science solutions and actionable insights.</li><li>
Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.</li><li>
Maintain compliance with security and governance standards for data management on AWS.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: 80000-100000</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
433773-en_US</div></div><div><div>
Posted on</div><div>
02 Apr 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

AWS SageMaker Data Scientist

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
The Division of Microbiology &amp; Immunology and Center for AIDS Research within the Emory National Primate Research Center at Emory University is currently seeking a full time Assistant Scientist, Bioinformatics to join the Emory NPRC Genomics Core laboratory. The successful candidate will work as part of a team that provides bioinformatics services to Emory and extramural researchers. Projects aim at investigating mechanisms of disease in the immune system, cancer and infectious disease. The position will allow for the successful applicant to obtain any necessary additional bioinformatic or computational training to complete the project, including training for single-cell RNA-seq, spatial transcriptomics, epigenetics and WGS.</div><div><br>
The ideal candidate should be motivated, dependable, detail-oriented, have a positive attitude and passion for research. The Assistant Scientist, Bioinformatics will be a team player who is willing to learn on the job and collaborate with lab members and center members. The Assistant Scientist, Bioinformatics will work to ensure the highest quality of laboratory research support, and has good communication skills with co-workers, the management team, PI&rsquo;s, research staff, students, and other support services.</div><div><br>
Collaborate. Innovate. Serve. These three simple words capture what we do at EPC to help advance science and improve the health and well-being of humans and non-human primates. If you are someone with computational biology experience who is familiar with immunology, this is an amazing opportunity to indirectly save and change lives and make a positive impact in the science and research community.</div><div></div><div><br>
Under minimal supervision, the Assistant Scientist, Bioinformatics performs a wide range of highly technical and complex bioinformatics procedures. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability.</div><div></div><div><br>
Dedicated to discovering causes, preventions, treatments, and cures of disease, Emory National Primate Research Center (EPC) is improving human and animal health and lives worldwide. One of seven NPRCs funded by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at http://enprc.emory.edu</div><div></div><div><br>
KEY RESPONSIBILITIES:
</div><ul><li>Directs and guides database searches and the computational analysis of resulting data.
</li><li>Provides direct technical support and helps guide, implement, and maintain further improvements to bioinformatics software, databases, and interfaces and works with the entire bioinformatics team to diagnose and fix related issues.
</li><li>May assist in grant and other funding applications, as necessary and appropriate.
</li><li>Demonstrated ability to function as part of a team.
</li><li>Performs other responsibilities as required.</li></ul><div>
MINIMUM QUALIFICATIONS:
</div><ul><li>PhD in bioinformatics, computer science, biological or physical science and three years of experience.</li><li>
Experience prior to achieving the PhD will be considered.</li></ul><div>
PREFERRED/DESIRED QUALIFICATIONS:</div><ul><li>
Applicant with a background in bioinformatics and strong computer science with an advanced degree in computational biology, bioinformatics or a related computer science discipline preferred</li><li>
Demonstrable experience writing code to solve biological problems</li><li>
R/Bioconductor proficiency highly preferred</li><li>
Experience working with RNA-Seq is a significant strength</li><li>
Programming experience in C/C++, Python, Java or PERL is a significant plus</li><li>
Experience with containerization/workflow, Docker, Nextflow, Snakemake</li><li>
Excellent communication and scientific writing skills</li><li>
Motivation to turn data into manuscripts.</li><li>
Candidates with analytical experience with spatial transcriptomics will be prioritized.</li></ul><div>
WORKING ENVIRONMENT:</div><ul><li>
This is an on-site/in-person position with limited remote work availability.</li><li>
Your work schedule will be communicated to you by your manager.</li></ul><p>
PRE-EMPLOYMENT SCREENING STATEMENT:</p><p></p><div><br>
The Emory National Primate Research Center (EPC), in conjunction with Emory University, conducts pre-employment screenings for all positions. These screenings may include an Information Network Associates (INA) and criminal background check, and verification of work history, academic credentials, licenses, and certifications. In addition, the process may include a drug screening with health assessment, and review and mandate for various vaccinations. Updated COVID-19 vaccinations may be necessary for specific research projects.</div><div></div><div><br>
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.</div>
Additional Details:
<div>
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).</div><div></div><div><br>
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.</div></div>

Assistant Scientist, Bioinformatics - Emory National Primate Research Center

HERMEZ-IT

<p><b>Position Description:</b><br/><b>GTA Senior Software Configuration/Release Engineer</b></p><p>This position is responsible for automating and maintaining cloud configuration and infrastructure processes across GTA-AWS environments.</p><p><b>ON-SITE INTERVIEWS ONLYHYBRID - IN THE OFFICE 2 DAYS PER WEEK</b><br/><b>Candidates Must be Permanent Residents.</b><br/><b>Position available for extensions.</b><br/>The Senior Software Configuration/Release Engineer is responsible for designing, automating, and maintaining cloud configuration, release, and infrastructure management processes across GTA&rsquo;s AWS environments. This role ensures highly available, secure, compliant, and well-governed cloud platforms through effective automation, Infrastructure as Code (IaC), patch management, backup strategy, and certificate governance.<br/>The engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services.<br/><b>Responsibilities</b><br/><b>Cloud Configuration &amp; Infrastructure Automation</b><br/>Develop, implement, and maintain configuration management processes, policies, and standards for AWS environments.<br/>Build, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management of AWS resources (e.g., EC2, S3, RDS, IAM, ACM).<br/>Manage and optimize multiple environments (Dev, Test, Stage, Prod) ensuring configuration consistency and security.<br/>Release Engineering &amp; AWS DevOps<br/><b>Senior Experience supporting automation pipelines using the AWS Code Suite: Code Commit, Code Build, CodeDeploy, and CodePipeline.</b><br/>Work closely with DevOps teams to support release activities, deployments, rollbacks, configuration updates, and environment readiness.<br/>Backup, Patching &amp; Compliance<br/>Design and maintain automated AWS backup solutions to ensure data integrity, resiliency, and compliance with state retention policies.<br/>Implement automated patching workflows for cloud infrastructure to maintain required security and compliance posture.<br/>Conduct periodic audits of environment configuration, patch levels, backup integrity, and certificate compliance; recommend and implement improvements.<br/>Security &amp; Certificate Management<br/>Manage installation, renewal, rotation, and validation of SSL/TLS certificates across AWS services.<br/>Ensure secure communication configurations and alignment with state and federal security requirements.<br/>Documentation, Governance &amp; Training<br/>Maintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes.<br/>Provide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate management.<br/>Core Competencies<br/>Strong analytical and troubleshooting skills with a proactive approach to cloud optimization.<br/>Ability to break down complex problems, create tactical plans, and contribute to strategic improvements.<br/>Attention to detail with strong diagnostic and problem-investigation abilities.<br/>Effective verbal and written communication skills.<br/>Strong organizational and planning abilities.<br/>Self-motivated, collaborative, and able to work in fast-paced environments.<br/>Minimum Qualifications<br/>Bachelor&rsquo;s degree in computer science, Information Systems, or related field; or equivalent professional training, certification, or experience.<br/>Eight (8) years of configuration management experience, including:<br/>Proficiency with Terraform and IaC methodologies<br/>Hands-on experience with AWS services (EC2, S3, RDS, IAM, ACM)<br/>Experience with cloud backup solutions and automated patching<br/>Expertise in SSL/TLS certificate management and security best practices<br/>Preferred Qualifications<br/>Scripting experience (e.g., Python, Bash, PowerShell) for automation within AWS/Terraform.<br/>AWS Certification(s) and/or Terraform Certification.<br/>Experience working with state or local government environments.<br/>Experience with vendor oversight or management.<br/>Experience with project management or Agile delivery tools.<br/>Experience with organizational change management (OCM).</p><p><b>Skills Table:</b><br/><b>Skill</b><br/><b>Required / Desired</b><br/><b>Amount</b><br/><b>of Experience</b></p><p>SENIOR EXPERIENCE using the AWS Code Suite: CodeCommit, CodeBuild, CodeDeploy, and CodePipeline<br/><b>Required</b><br/><b>7</b><br/><b>Years</b></p><p>The engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services.<br/><b>Required</b><br/><b>7</b><br/><b>Years</b></p><p>Build, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management<br/><b>Required</b><br/><b>3</b><br/><b>Years</b></p><p>Design and maintain automated AWS Backup, Patching solutions to ensure data integrity, resiliency, and compliance with state retention policies.<br/><b>Required</b><br/><b>7</b><br/><b>Years</b></p><p>Manageinstallation, renewal, rotation, and validation of SSL/TLS certificates across AWS services.<b>Required</b><br/><b>7</b><br/><b>Years</b></p><p>Maintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes.<br/><b>Required</b><br/><b>3</b><br/><b>Years</b></p><p>Provide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate<br/><b>Required</b><br/><b>3</b><br/><b>Years</b></p><p>ON-SITE INTERVIEWS ONLY<br/><b>Required</b></p><p>TWO DAYS PER WEEK WORK IN THE OFFICE<br/><b>Required</b></p><p><b>What is your candidate's email address?If selected for engagement, your candidate will be expected to start no later than 2 weeks (10 business days) after the client's selection date? Do you agree to this requirement?On-Site Interviews Only. Do you and your candidate accept this requirement?</b><br/><b>Hybrid Work Environment REQUIRES 2 days-per-week On-Site in the office. Do you and your candidate accept this requirement?</b><br/><b>In what City and State is your candidate located?</b><br/><b>Candidates MUST be Permanent Residents (US Citizens or Green Card Holders). Do you and your candidate accept this requirement?</b></p><p>Pay: $47.00 per hour</p><p>Work Location: Hybrid remote in Atlanta, GA 30332</p>

Build and Release Engineer

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search.<br>
As a Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><p>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</p></li><li><p>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</p></li><li><p>
Prior background and experience in building Generative AI based solutions for industry is a plus</p></li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div><p></p>

Data Scientist, Contact Center AI

wideanchor

<p><b>Job Overview</b><br/>We are seeking a dynamic and innovative AI Researcher to join our cutting-edge technology team. In this role, you will drive the development of advanced artificial intelligence solutions, harnessing the power of machine learning, natural language processing, and big data analytics. Your expertise will help shape the future of intelligent systems, enabling transformative applications across diverse industries. This position offers an exciting opportunity to work with state-of-the-art tools and frameworks, contribute to impactful research projects, and collaborate with a talented team dedicated to pushing the boundaries of AI technology.</p><p><b>Responsibilities</b></p><ul><li>Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools.</li><li>Conduct research on unsupervised learning techniques to uncover hidden patterns in large datasets.</li><li>Implement data pipelines using ETL processes and tools like Talend to prepare data for analysis and model training.</li><li>Develop scalable solutions leveraging cloud platforms such as AWS for model deployment and management.</li><li>Collaborate with cross-functional teams to integrate natural language processing capabilities into products and services.</li><li>Perform data mining and database design to support analytics initiatives and enhance data accessibility.</li><li>Utilize big data technologies like Hadoop, Spark, and SQL to analyze complex datasets and extract actionable insights.</li></ul><p><b>Requirements</b></p><ul><li>Proven experience in machine learning, AI, and natural language processing with a strong understanding of relevant frameworks such as TensorFlow or similar.</li><li>Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and R for data analysis and model development.</li><li>Hands-on experience with cloud services like AWS for model training, deployment, and scaling AI solutions.</li><li>Solid knowledge of big data tools such as Hadoop, Spark, SQL databases, and ETL processes for managing large-scale datasets.</li><li>Familiarity with database design principles and linked data concepts to facilitate efficient data retrieval and integration.</li><li>Experience in data mining, analytics, and applying unsupervised learning techniques to real-world problems.</li><li>Ability to work with diverse machine learning frameworks and tools while maintaining a focus on model accuracy and performance.</li><li>Strong analytical skills complemented by expertise in SAS or Looker for advanced reporting and visualization tasks.</li><li>Knowledge of quantum engineering is a plus but not required; enthusiasm for emerging technologies is encouraged. Join us as an AI Researcher to innovate at the forefront of technology! Bring your passion for research, your technical prowess across multiple programming languages and platforms, and your desire to make a meaningful impact through artificial intelligence solutions that transform industries worldwide.</li></ul><p>Pay: From $55,609.76 per year</p><p>Benefits:</p><ul><li>Employee assistance program</li><li>Flexible schedule</li><li>Professional development assistance</li><li>Referral program</li><li>Tuition reimbursement</li></ul><p>Work Location: In person</p>

AI Researcher

Purchasing Power, LLC

<div><div><div><p>Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.</p><p>
We&rsquo;re looking for a <b>Data Engineer </b>to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.</p><p>
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.</p><p><b>
WHAT YOU&rsquo;LL WORK ON</b></p><p><b>
Data Pipeline Development</b></p><ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul><p><b>
Streaming Platform Support</b></p><ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul><p><b>
Data Processing &amp; Transformation</b></p><ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul><p><b>
Platform Operations</b></p><ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul><p><b>
Collaboration</b></p><ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul><p></p><p><b><br>
WHAT YOU BRING</b></p><ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li><p>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</p></li></ul><p></p><p><b><br>
WHY THIS ROLE IS UNIQUE</b></p><ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul><p></p><p><b><br>
WHAT WE OFFER</b></p><ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul></div></div></div><p></p>

Data Engineer (Hybrid - Atlanta, GA)

Travelers

<div><p><b>Who Are We?</b></p><p>
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.</p><p></p><p><b>
Compensation Overview</b></p><p>
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.</p><p></p><p><b>
Salary Range</b></p>
$109,300.00 - $180,200.00<p></p><p><b>
Target Openings</b></p>
1<p></p><p><b>
What Is the Opportunity?</b></p>
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.<p><b>
What Will You Do?</b></p><ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.</li><li>
Design data solutions.</li><li>
Analyze sources to determine value and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>
Test data movement, transformation code, and data components.</li><li>
Perform other duties as assigned.
</li></ul><p><b>What Will Our Ideal Candidate Have?</b></p><ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Six years of related experience.</li><li>
Experience with ETL tools, including Talend, Informatica, and/or Ab Initio.</li><li>
1+ years of experience with Spark and/or PySpark (required).</li><li>
Proficiency in SQL across multiple platforms, including Oracle, Teradata, SQL Server, and/or PostgreSQL.</li><li>
Experience with cloud and data platforms such as AWS, Databricks, and Snowflake.</li><li>
Demonstrated ability to partner and collaborate effectively with technical stakeholders.</li><li>
Experience with ETL development in data lake and data warehouse (preferably Snowflake).</li><li>
Exhibited hands-on experience in building data pipelines and reusable components using AWS Services and PySpark, and Snowflake within the last two years.</li><li>
Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.</li><li>
The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.</li><li>
Strong verbal and written communication skills with the ability to interact with team members and business partners.</li></ul><p></p><p><b>
What is a Must Have?</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
2 additional years of software/data engineering experience.</li></ul><p></p><p><b>
What Is in It for You?</b></p><ul><li><b>
Health Insurance</b>: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li><b>
Retirement:</b> Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li><b>
Paid Time Off:</b> Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li><b>
Wellness Program:</b> The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li><b>
Volunteer Encouragement:</b> We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul><p></p><p><b>
Employment Practices</b></p><p>
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
</p><p></p><p>In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.</p><p></p><p>
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.</p><p></p><p>
Travelers reserves the right to fill this position at a level above or below the level included in this posting.</p><p></p><p>
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</p></div>

Data Engineer I (ETL, PySpark, SQL)

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