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applied ai/ml - senior associate Jobs in Tampa

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applied ai ml senior associate

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.</p><p>
As an Applied AI/ML Sr. Associate in our Technology team, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.</p><p>
<b>Job Responsibilities</b></p><ul><li>
Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.</li><li>
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.</li><li>
Develop and implement software architecture and design patterns to ensure scalability and performance.</li><li>
Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.</li><li>
Implement and manage data pipelines to preprocess and transform data for AI/ML models.</li><li>
Integrate AI/ML models into software applications and ensure seamless deployment into production environments.</li><li>
Optimize software applications for performance, reliability, and scalability.</li><li>
Conduct code reviews and provide technical guidance to junior developers.</li><li>
Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.</li><li>
Ensure adherence to software development best practices, including agile and lean methodologies.</li><li>
Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Bachelors or Masters degree in Computer Science or equivalent practical experience.</li><li>
5+ years of experience as a software developer with a focus on integrating AI/ML solutions.</li><li>
Strong programming skills in Python, with experience in developing and maintaining production-level code.</li><li>
Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.</li><li>
In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.</li><li>
Experience with application architecture and design patterns.</li><li>
Proficiency in working with large datasets and data preprocessing.</li><li>
Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.</li><li>
Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.</li><li>
Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.</li><li>
Leverage Spark for big data processing and analytics, optimizing data workflows and enhancing performance in distributed computing environments</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Familiarity with DevOps practices for software deployment and monitoring.</li><li>
Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.</li><li>
Experience with distributed computing frameworks, such as Apache Spark.</li><li>
Experience in implementing SRE practices to improve system reliability and performance.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML - Senior Associate

Fintech

<div>
 <strong>
  This position is Hybrid in Tampa, FL
 </strong>
 .
 <br/>
 <br/>
 We are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Project Responsibility: End-to-end data pipelines and integrations
 <br/>
 <br/>
 <strong>
  Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced SQL optimization and complex query design
  </li>
  <li>
   Kafka streaming applications and connector development
  </li>
  <li>
   Databricks workflow development with medallion architecture
  </li>
  <li>
   Data governance implementation and compliance
  </li>
  <li>
   Performance tuning for large-scale data processing
  </li>
  <li>
   Data security and privacy best practices
  </li>
  <li>
   Apache NiFi pipeline development for invoice and PO processing
  </li>
  <li>
   Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  </li>
  <li>
   Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  </li>
  <li>
   Design and optimize data architectures for large-scale ML workloads
  </li>
  <li>
   Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cross-functional collaboration with product and engineering teams
  </li>
  <li>
   Technical mentoring for junior data engineers
  </li>
  <li>
   Analytical thinking for complex data problems
  </li>
  <li>
   Stakeholder communication for data requirements
  </li>
  <li>
   Process improvement and efficiency focus
  </li>
  <li>
   Quality mindset for data accuracy and reliability Vendor Management:
  </li>
  <li>
   Direct communication with data platform vendors
  </li>
  <li>
   Evaluates vendor tools for specific data use cases
  </li>
  <li>
   Provides technical feedback on vendor product roadmaps
  </li>
  <li>
   Coordinates with vendors for data integration projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <em>
  Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.
  <br/>
  <br/>
 </em>
 <em>
  5+ years in data engineering; 2+ years applying ML in production.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Work
  </li>
  <li>
   Employer Matched 401K
  </li>
  <li>
   Company Paid Medical Insurance Option for Employee and Dependent Children
  </li>
  <li>
   Company Paid Dental Insurance for Employee
  </li>
  <li>
   Company Paid Vision Insurance for Employee
  </li>
  <li>
   Company Paid Long and Short-Term Disability
  </li>
  <li>
   Company Paid Life and AD&amp;D Insurance
  </li>
  <li>
   18 Paid Vacation Days a Year
  </li>
  <li>
   Six Paid Holidays
  </li>
  <li>
   Employee Recognition Programs
  </li>
  <li>
   Holiday Bonus
  </li>
  <li>
   Incentive Compensation
  </li>
  <li>
   Community Outreach Opportunities
  </li>
  <li>
   Business Casual Dress Code
   <br/>
   <br/>
  </li>
 </ul>
 <br/>
 <br/>
 <strong>
  About Fintech:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource&reg;, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit
 <strong>
  www.fintech.com
 </strong>
 .
 <br/>
 <br/>
 <em>
  Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech&rsquo;s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.
 </em>
 <em>
  We E-Verify.
 </em>
</div>


Data Engineer - AI/ML

NTT DATA

<b>Req ID:</b> 365630
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a Senior Data Scientist to join our team in Tampa, Florida (US-FL), United States (US).
<br><br>
<b>Job Duties:</b> NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following:
<br><br>
<ul>
<li>Driving new data insights to uncover business opportunities & revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas & how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>
<b>Key Responsibilities:</b><br>
<ul>
<li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li>
<li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li>
<li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li>
<li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li>
<li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li>
<li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li>
<li>Piping and processing massive data-streams in distributed computing environments.</li>
<li>Implement batch and real-time model scoring.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li>
<li>Apply business knowledge to analyze data, develop reports and solve problems ·Perform ad hoc analyses of data depending on business needs.</li>
<li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li>
</ul>
<b>Basic Qualifications:</b><br>
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
<br><br>
o Data Design
<br><br>
o Statistics
<br><br>
o AI/ML
<br><br>
o ML Ops
<br><br>
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
<b>Preferred Skills:</b><br>
<ul>
<li>Master’s degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
<li>Ability to drive individual hands on development plus oversee more junior developers / engineers</li>
</ul>
<b>Minimum Skills Required:</b><br>
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
<br><br>
o Data Design
<br><br>
o Statistics
<br><br>
o AI/ML
<br><br>
o ML Ops
<br><br>
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Senior Data Scientist

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: DEVELOPER L4
</div></div></div></div><div><div><div><div>City: Tampa
</div></div></div></div><div><div><div><div>State/Province: Florida
</div></div></div></div><div><div><div><div>Posting Start Date: 4/2/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><div><p><b>Role: </b><b>Python Developer &ndash; Generative AI &amp; Cloud (Agentic AI)
</b><br>
<b>Location: </b><b>Tampa, FL and Jersey City, NJ (3 Days onsite/week)
</b></p></div><p><b>Job Description:
</b></p><ul><li>Strong hands‑on experience in Python development for AI/ML workloads
</li></ul><ul><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
</li></ul><ul><li>Understanding/practical knowledge on Agentic AI frameworks
</li></ul><ul><li>Experience working with cloud‑native AI services on GCP/AWS/Azure
</li></ul><ul><li>Understanding of privacy‑preserving ML techniques and responsible AI practices
</li></ul><ul><li>Experience working with prompt engineering including tool calling and guardrails
</li></ul><ul><li>Familiarity with MLOps pipelines, model deployment, and monitoring
</li></ul><ul><li>Ability to design scalable, production‑ready AI solutions
</li></ul><p>Key Responsibilities:
</p><ul><li>Design, develop, and optimize Python‑based AI/ML applications
</li></ul><ul><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks
</li></ul><ul><li>Integrate AI models with cloud platforms and managed AI services
</li></ul><ul><li>Develop scalable APIs and microservices supporting AI workloads
</li></ul><ul><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions
</li></ul><ul><li>Implement CI/CD pipelines ensuring code quality, testing, and security
</li></ul><ul><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments
</li></ul><ul><li>Ensure compliance with data privacy, security, and responsible AI guidelines
</li></ul></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Java ML .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>The expected compensation for this role ranges from $60,000 to $135,000 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

DEVELOPER L4

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.</p><p>
Job Description</p><div><p>
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.<br>
<br>
At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends a Data Scientist leveraging technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem<br>
<br>
HOW A DATA SCIENTIST WILL MAKE AN IMPACT</p><div><ul><li><br>
Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges</li><li>Uses expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations.</li></ul></div><ul><li>Leverages knowledge of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements.</li><li>Must be able to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks</li></ul><p><br>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><ul><li><p>
Must be proficient in Python, React (HTML, CSS, JavaScript, TS), and SQL. Develop full-stack responsive web applications using Python and React for task automation, data visualization, and analysis.</p></li><li><p>
Build and integrate APIs tailored to specific tasks and requirements.</p></li><li><p>
Maintain best practices for information, data, and network security throughout development and deployment.</p></li><li><p>
Significant experience and understanding of APIs.</p></li><li><p>
Understands and is proficient in the full-stack development process.</p></li><li><p>
Understands data structures, pipelines, and retrieval.</p></li><li><p>
Experience working with databases.</p></li><li><p>
Experience in automating tasks with Python scripting.</p></li></ul><p></p><ul><li>Education: Bachelor&rsquo;s Degree required in Computer Sciences, Applied Math or Science Statistics, Science, Technology, Mathematics, Analytics, or related fields. Requires</li><li>Experience: 0-2 years of experience
</li><li>Security clearance level: No clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.</li><li>US Citizenship Required</li><li>Location: Site- Tampa, FL</li></ul><br>
GDIT IS YOUR PLACE:<div><ul><li><br>
401K with company match</li><li>Comprehensive health and wellness packages</li><li>Internal mobility team dedicated to helping you own your career</li><li>Professional growth opportunities including paid education and certifications</li><li>Cutting-edge technology you can learn from</li><li>Rest and recharge with paid vacation and holidays</li></ul></div><p></p><p>
#armajobs</p>
#armajobs</div></div><div><div><div><p>
Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
1 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
Less than 10%</div></div><div></div><div>
Citizenship<div>
U.S. Citizenship Required</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $72,250 - $97,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Data Scientist (On site in Tampa, FL)

Platinum Technologies

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div><br>
<div></div>
<div></div>
<div><b>You.</b></div>
<div>Platinum Technologies is seeking a Data Engineer to join our company.</div>
<div>We&rsquo;re seeking a highly technical Data Engineer to drive the massive data discovery and classification effort. Before data can be protected, it must be found and understood. You will be responsible for illuminating &quot;dark data&quot; across the Command&rsquo;s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks.</div>
<div></div>
<div>As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the &quot;Global Data Inventory&rdquo;, a dynamic, real-time map of where sensitive CUI and classified intelligence resides, enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance.</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network.</li></ul>
<ul><li>Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance.</li></ul>
<ul><li>Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users.</li></ul>
<ul><li>Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.</li></ul>
<ul><li>Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory.</li></ul>
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<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI clearance</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica.</li></ul>
<ul><li>Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access.</li></ul>
<ul><li>Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices.</li></ul>
<ul><li>Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts.</li></ul>
<ul><li>Journeyman Experience:</li></ul>
<div>A Journeyman labor category has 3 to 10 years of experience and a BA/BS or MA/MS degree. A Journeyman labor category typically performs all functional duties independently.</div>
<ul><li>Senior Experience:</li></ul>
<div>A Senior labor category has over 10 years of experience and a MA/MS degree. A Senior labor category typically works on high-visibility or mission critical aspects of a given program and performs all functional duties independently. A Senior labor category may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.</div>
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<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Engineer

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div>
<div></div>
<div>Platinum Technologies is seeking a <b>Senior Data Security Engineer (DRM Specialist)</b> to join our company. As the Senior DRM Specialist, you will be responsible for the configuration and enforcement of advanced encryption policies using Kiteworks (on SIPR and Top-Secret networks) and Microsoft Purview Information Protection (on NIPR). You will move the Command beyond simple file encryption to a granular, identity-aware protection model. You will design the &quot;Data Policy Engineer&quot; rules that act as the Policy Decision Point (PDP), ensuring that a user&rsquo;s ability to decrypt a file is dynamically brokered in real-time based on their &quot;Trust Attributes&quot; (clearance, role, and risk level). You will also manage the complex Key Management lifecycles required to maintain a seamless user experience in a high-security, hybrid environment</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Architect and configure the Kiteworks Private Content Network (SIPR/Top Secret) and Microsoft Purview (NIPR) to serve as the central Policy Decision Points (PDP) for file access.</li></ul>
<ul><li>Translate NIST 8112 metadata attributes into concrete DRM policies (e.g., &quot;Allow View ONLY if User.Clearance &gt;= TopSecret AND Device.State = Compliant&quot;).</li></ul>
<ul><li>Manage the lifecycle of encryption keys (Bring Your Own Key - BYOK, Customer Managed Keys) ensuring FIPS 140-2/3 compliance and availability across hybrid and air-gapped environments.</li></ul>
<ul><li>Configure advanced DRM features such as SafeVIEW and SafeEDIT in Kiteworks to allow users to view and edit sensitive documents in a secure, containerized stream without the data ever leaving the controlled repository.</li></ul>
<ul><li>Define and enforce &quot;Rights Management&quot; controls, specifically preventing actions like Copy/Paste, Screen Capture, and Printing for documents tagged with specific sensitivity labels (e.g., CUI, Secret/NoForn).</li></ul>
<div></div>
<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI Clearance</li></ul>
<ul><li>Master of Science (MS) degree in Cybersecurity, Computer Science, Mathematics (Cryptography focus), or a related technical field.</li></ul>
<ul><li>10+ years of technical related experience.</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Extensive hands-on experience (5+ years) designing and administering Enterprise Digital Rights Management (EDRM) or Information Rights Management (IRM) systems, specifically Kiteworks, Microsoft Azure Information Protection (AIP/RMS), or Virtru.</li></ul>
<ul><li>Deep understanding of cryptographic protocols (AES-256, RSA), Public Key Infrastructure (PKI), and Key Management Service (KMS) operations.</li></ul>
<ul><li>Proven ability to design complex Attribute-Based Access Control (ABAC) logic and Conditional Access policies.</li></ul>
<ul><li>Understanding of how encryption travels across Cross-Domain Solutions (CDS) and the challenges of key management in air-gapped networks.</li></ul><br>
<div></div>
<div></div>
<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Security Engineer

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