ai engineer

operations support associate Jobs in Tampa

operations support associate

operations support associate - part time Jobs in Tampa

operations support associate - part time

ai/ml engineer

associate branch manager - ameriprise financial advisors, tampa fl Jobs in Tampa

associate data engineer

Baker Tilly

<div><h1 class="jobSectionHeader"><b>Overview</b></h1><p></p><p>
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world&rsquo;s leading financial centers &ndash; New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.</p><p>
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.</p><p></p><p>
Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.</p><p></p><p><i>
Baker Tilly is an equal </i><i>opportunity/affirmative</i><i> action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.</i></p><p></p><p><i>
Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency (&quot;search firm&quot;) for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.</i></p><p></p><h1 class="jobSectionHeader"><b>
Job Description:</b></h1><p><br>
Associate Data Engineer</p><p></p><p>
As a Senior Consultant &ndash; Associate Data Engineer you will design, build, and optimize modern data solutions for our mid‑market and enterprise clients. Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will transform raw data into trusted, analytics‑ready assets that power dashboards, advanced analytics, and AI use cases. You&rsquo;ll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills.</p><p></p><p>
Key Responsibilities:</p><ul><li><p>
Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control.</p></li><li><p>
Modeling &amp; Storage: Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI.</p></li><li><p>
Quality &amp; Governance: Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.</p></li><li><p>
Client Delivery: Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences.</p></li><li><p>
Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions.</p></li></ul><p></p><p>
Qualifications:</p><ul><li>Education &ndash; Bachelor&rsquo;s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)</li><li>Experience &ndash; 2&ndash;3 years delivering production data solutions, preferably in a consulting or client‑facing role.</li><li>Technical Skills:</li></ul><p>
**Strong T‑SQL for data transformation and performance tuning.</p><p>
**Python for data wrangling, orchestration, or notebook‑based development.</p><p>
**Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).</p><ul><li>Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred</li><li>Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred</li><li>Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred</li><li>Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred</li></ul><p></p><p>
The pay rate range for this job position is $85,910 to $ 162,890. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant&rsquo;s skills, prior experience, qualifications, degrees/certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package.</p></div>

Associate Data Engineer

Infosys

<p>Infosys is seeking a <b>Lead Data Engineer</b>. As a Lead Data Engineer you are willing to collaborate with the Reporting team to provide architecture solutions for automating financial dashboards and provisioning Data Warehouse for expense and Capital related financial data.<br>
<br>
<b>Required Qualifications:</b><br>
Candidate must be located within commuting distance of <b>Tampa, FL</b> or willing to relocate to the area. Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.<br>
Experience in migration of reports to Looker from another visualization tool.<br>
Must have experience on Informix Migration Experience<br>
Exposure to OSS/BSS is added advantage<br>
Develop an ETL process by writing python scripts to automate data synchronization between systems.<br>
Offer business and analytical solutions to fulfill BI requirements.<br>
Analyze Excel macros and automate this process without need for manual validations.<br>
Provide Ad-hoc reporting solutions using Looker.<br>
Design and implement Database structures (DDL/DML) in Oracle, conducting thorough analyses to provision the Data Warehouse.<br>
Identify and address performance and data redundancy issues by optimizing Database functions and indexes, both in Oracle and Looker.<br>
Analyze Expense and budgeting data to propose financial data models and design solutions.<br>
Implement automation processes utilizing Verizon Message Bus (VMB) for efficient data storage and retrieval across systems.<br>
Must be Proficient in utilizing MS Excel for generating ad-hoc reports to fulfill business needs.<br>
Leverage Tableau and Looker to visualize data and publish reports from multiple data sources.<br>
<br>
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.</p>

Lead Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Summary:</b></div>
<div>As an AI Engineer, you will design, develop, and deploy AI-driven solutions using Python and advanced frameworks
</div><div>such as LangChain and LangGraph. You will work closely with cross-functional teams to build scalable NLP pipelines, knowledge graphs, and interactive AI agents tailored for complex real-world problems.</div>
<div><b>Key Responsibilities:</b></div>
<div>Develop and maintain AI applications utilizing Python programming.</div>
<div>Design and implement solutions using LangChain to create modular, chain-of-thought prompt pipelines.</div>
<div>Build and integrate knowledge graphs leveraging LangGraph to enhance data interconnectivity and reasoning.</div>
<div>Collaborate with data scientists, ML engineers, and product teams to deliver robust AI-powered features.</div>
<div>Optimize model inference workflows for performance and scalability.</div>
<div>Troubleshoot, debug, and upgrade AI components as needed.</div>
<div>Stay up to date with emerging AI technologies and advocate for best practices</div>
<div>Salary Range: $64,000 - $100,000 a year</div>
#LI-NS4
</div></div></div><div><div><div><b>Location</b></div>
<div>Tampa, FL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>398918</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$64,000-$100,000 a year</div></div></div></div><div></div>

AI Engineer

Ascendion

<div><div><div><h1 class="jobSectionHeader"><b>About Ascendion
</b></h1><p>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
</p><p><b>Ascendion | Engineering to elevate life
</b></p><p>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</p><ul><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li></ul><p>Experience a community of change makers!
</p><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.<br>
</p></div><div><br>
<div><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p>We are looking for a Lead AI Engineer to join our team and work on developing and deploying Generative AI solutions for clinical, Utilization Management, and Care Management.
</p><h2 class="jobSectionHeader"><b>Job Title: Lead AI Engineer<br>
</b></h2><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Develop and deploy Generative AI solutions for clinical, Utilization Management, and Care Management
</li><li>Build Agentic AI systems that autonomously execute multi-step tasks across healthcare operations (e.g., Prior Authorization, eligibility checks)
</li><li>Collaborate with cross-functional teams to integrate AI solutions into existing healthcare platforms and workflows
</li><li>Design and implement APIs, and cloud-native components to support AI agents
</li><li>Optimize performance, scalability, and reliability of AI-driven applications
</li><li>Ensure compliance with healthcare regulations (HIPAA, HITECH) and data privacy standards
</li><li>Stay current with advancements in LLMs, agent frameworks (LangChain, AutoGen, Copilot Studio), and healthcare tech
</li></ul><h2 class="jobSectionHeader"><b>Minimum Qualifications
</b></h2><ul><li>4-10+ years of software development experience, with strong proficiency in Python, .NET, or Java
</li><li>Hands-on experience with LLMs, transformers, and prompt engineering
</li><li>Experience with agentic frameworks (e.g., LangChain, AutoGPT)
</li><li>Strong understanding of REST APIs and cloud platforms (Azure, AWS, GCP)
</li><li>Familiarity with healthcare data formats and standards: FHIR, HL7, EDI, ICD/CPT codes
</li><li>Experience integrating with healthcare systems (e.g., Guiding Care)
</li><li>Strong problem-solving skills and ability to work in agile environments
</li></ul><h2 class="jobSectionHeader"><b>Desired Qualifications
</b></h2><ul><li>Experience in AI solutions for healthcare operations
</li><li>Knowledge of AI ethics and bias mitigation techniques
</li><li>Experience with natural language processing (NLP) technologies
</li></ul><h2 class="jobSectionHeader"><b>Location
</b></h2><p>Remote<br>
</p></div></div><p></p><p><b>Salary and Other Compensation: </b>The annual [salary/hourly rate] for this position is between [$60-65 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>T he Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
</p><h2 class="jobSectionHeader"><b>Want to change the world? Let us know.
</b></h2><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>Python JAVA
<ul><li><div>Agentic AI
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>331818
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>AI Engineer
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Tampa, Florida, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Binal
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>binal.patel@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

Realign

<div>Tampa, Florida 33592 Posted March 3rd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Position Title : GEN AI Engineer</b></div><p><b>
Location :- </b><b>Tampa, FL / Dallas TX (Onsite)</b><br>
<b>Fulltime</b></p><div></div><p><b><br>
Must Have Technical/Functional Skills</b></p><p><b>
Technical Skills</b></p><p>
Strong experience with Python (mandatory); exposure to Java/TypeScript is a plus.</p><p>
Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain-style orchestration, agent frameworks).</p><p>
Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination.</p><p>
Experience with vector databases and semantic search.</p><p>
API integration and microservices architecture.</p><p>
Cloud platforms (Azure / AWS / GCP).</p><p></p><p><br>
AI/ML Knowledge</p><p>
Understanding of NLP, deep learning, and transformer-based models.</p><p>
Experience with model evaluation, hallucination mitigation, and prompt optimization.</p><p>
Familiarity with Responsible AI, security, and data privacy principles.</p><p></p><p><b><br>
Roles &amp; Responsibilities</b></p><p>
GenAI Development</p><p>
Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases.</p><p>
Develop prompt engineering, prompt orchestration, and reusable prompt libraries.</p><p>
Fine-tune and evaluate LLMs for enterprise-specific tasks.</p><p>
Integrate GenAI capabilities into applications, APIs, and workflows.</p><p></p><p><br>
Agentic AI &amp; Autonomous Systems</p><p>
Design and implement agentic architectures (planner, executor, evaluator, memory).</p><p>
Build multi-agent systems with task decomposition, tool usage, and feedback loops.</p><p>
Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores.</p><p>
Implement agent memory, reasoning chains, and self-reflection mechanisms.</p><p></p><p><br>
Architecture &amp; Engineering</p><p>
Define end-to-end AI solution architecture (cloud, APIs, security, observability).</p><p>
Implement Retrieval-Augmented Generation (RAG) with vector databases.</p><p>
Ensure scalability, performance, reliability, and cost efficiency.</p><p>
Apply Responsible AI, governance, and compliance standards.</p><p></p><p><br>
Collaboration &amp; Delivery</p><p>
Work closely with product owners, domain experts, and engineering teams.</p><p>
Translate business problems into AI-driven solutions.</p><p>
Support SDLC phases including design, development, testing, deployment, and support.</p><p>
Mentor junior engineers and contribute to AI best practices.</p><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

GEN AI Engineer-1

Fintech

<div><p><b>Join Fintech in Tampa, Florida as an AI/ML Engineer!</b></p>
<p>
We are seeking an AI Engineer to design, build, and operate AI solutions that drive measurable business outcomes. Will have to partner with product managers, data engineers, and analysts to convert use cases into production-grade services&mdash;spanning traditional ML, generative AI (LLMs), and intelligent automation&mdash;using modern MLOps practices. Will have to own model lifecycle, scalability, observability, and security-by-design to ensure responsible, reliable AI in production.</p>
<p><b>
Essential Functions:</b></p>
<p>
Project Responsibility: End-to-end AI solutions.</p>
<p><b>
Technical Competencies:</b></p>
<p><b>
Data Analysis</b></p>
<ul>
<li>Extensive experience in data analysis using Python.</li>
</ul>
<p><b>Machine Learning &amp; Deep Learning</b></p>
<ul>
<li>Proficient with classical ML models and deep learning frameworks (PyTorch/TensorFlow)</li>
<li>Strong grasp of model evaluation, optimization, and training best practices</li>
</ul>
<p><b>Generative AI &amp; LLMs</b></p>
<ul>
<li>Experience with LLMs, embeddings, prompt engineering, and RAG</li>
<li>Familiarity with fine‑tuning (LoRA/QLoRA) and applying guardrails/safety filters</li>
</ul>
<p><b>MLOps / GenAIOps</b></p>
<ul>
<li>CI/CD pipelines for ML/LLM, model registry, automated deployments</li>
<li>Monitoring for drift, performance, hallucination rate, and service reliability</li>
</ul>
<p><b>Cloud &amp; Infrastructure</b></p>
<ul>
<li>Hands‑on with cloud ML platforms preferably Azure</li>
<li>Strong understanding of containerization (Docker) and IaC (Terraform/Bicep)</li>
</ul>
<p><b>Data Platform</b></p>
<ul>
<li>Familiarity with Moderns data platform like Vector DB/Graph Databases</li>
<li>Familiarity with different AI Architecture layers</li>
<li>Implementing data quality checks, lineage, and observability</li>
</ul>
<p><b>Observability &amp; Reliability</b></p>
<ul>
<li>Setting up logs, metrics, dashboards (App Insights, Prometheus/Grafana)</li>
</ul>
<p><b>Responsible AI &amp; Security</b></p>
<ul>
<li>Applying model cards, risk assessments, bias &amp; safety evaluations</li>
<li>Implementing RBAC, secret management, network isolation</li>
</ul>
<p><b>Soft Skills:</b></p>
<ul>
<li>Cross-functional collaboration with product and engineering teams</li>
<li>Technical mentoring for junior engineers</li>
<li>Analytical thinking for complex data problems</li>
<li>Process improvement and efficiency focus</li>
<li>Evaluates vendor tools for specific data use cases</li>
<li>Provides technical feedback on vendor product roadmaps</li>
<li>Problem‑solving mindset &ndash; ability to break down ambiguous business problems into actionable AI/ML solutions</li>
<li>Communication clarity &ndash; explains complex technical concepts in simple, actionable terms to non‑technical stakeholders</li>
<li>Adaptability &amp; learning agility &ndash; stays current with fast‑evolving AI/LLM technologies and adjusts approaches quickly</li>
<li>Critical thinking &ndash; evaluates risks, tradeoffs, and ethical considerations objectively</li>
<li>Product orientation &ndash; focuses on business impact, user experience, and measurable value</li>
</ul>
<p><b>Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.</li>
<li>1+ years&rsquo; experience in AI implementation and 3+ years of ML experience.</li>
</ul>
<p><b>Our Benefits:</b></p>
<ul>
<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>Incentive Compensation</li>
<li>Community Outreach Opportunities</li>
<li>Business Casual Dress Code</li>
</ul>
<p><b>About Fintech:</b></p>
<p><i>
For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and services in the retail, hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments, POS and delivery data, product and cost compliance, price book management, and industry market data using AI, seamless integration capabilities, and proprietary automation technology.</i></p>
<p><i>
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. We E-Verify.</i></p></div>

AI/ML Engineer

<div>
 Who we are
 <br/>
 <br/>
 At CTI, a Parsons Company, we deliver cutting-edge technology solutions that empower end-users to SEE (Sense, Evaluate, Effect) the invisible battlespace. Our mission is to provide critical capabilities across spectrum operations, communications, cyberspace, information space, human terrain, gray space, geo-intelligence, modeling &amp; simulation, ISR (Intelligence, Surveillance &amp; Reconnaissance), JADC2 (Joint All-Domain Command and Control), covert operations, and more. These integrated solutions drive mission success, close the Kill Chain, and ensure operational superiority.
 <br/>
 <br/>
 Founded in April 2000, CTI was built with a clear purpose: to provide user-focused, high-end software and systems development for the Defense and Intelligence communities. Our team of highly skilled, technically diverse developers works hand-in-hand with military personnel to design and deliver solutions that make a real impact on the fight.
 <br/>
 <br/>
 Headquartered in Prince Frederick, Maryland, and supported by a robust remote workforce nationwide, CTI is strategically positioned to serve a wide range of DoD and agency customers. As part of Parsons Corporation, we&rsquo;ve expanded our capabilities and strengthened our commitment to delivering mission-critical solutions that matter.
 <br/>
 <br/>
 We are seeking a Machine Learning Engineer (MLOps focus) who will be a key technical contributor in advancing CTI&rsquo;s artificial intelligence and machine learning capabilities. This role supports United States Special Operations Command (SOCOM) programs and other advanced defense initiatives by ensuring that ML models are not only trained effectively, but also deployed, monitored, and sustained in real-world operational environments, including edge-deployed systems. We&rsquo;re seeking a Machine Learning Engineer with deep expertise in MLOps, model deployment, and infrastructure automation to build scalable, secure, and production-grade ML systems. The successful candidate will be passionate about building and automating ML pipelines, implementing modern MLOps practices, and driving innovation that directly impacts mission outcomes. With hands-on experience taking ML models from concept to production deployment, this engineer will help CTI deliver highly reliable, scalable, and mission-ready ML solutions to the battlefield.
 <br/>
 <br/>
 <strong>
  Responsibilities Include, But Are Not Limited To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Operationalize ML models by building robust pipelines for training, evaluation, deployment, and monitoring across diverse compute environments (cloud, on-prem, and edge).
  </li>
  <li>
   Collaborate with cross-functional teams to translate mission requirements into deployable ML systems.
  </li>
  <li>
   Implement CI/CD for ML workflows, enabling automated testing, packaging, and deployment of models and data pipelines
  </li>
  <li>
   Manage ML infrastructure using Docker, Kubernetes, and model serving platforms like Seldon, KServe, or BentoML
  </li>
  <li>
   Develop monitoring and observability systems to track model performance, data drift, and resource utilization using tools like Prometheus, Grafana, and ELK/EFK stacks
  </li>
  <li>
   Contribute to security and compliance in ML pipelines, ensuring model deployments meet defense and customer requirements.
  </li>
  <li>
   Explore and integrate modern MLOps technologies to improve reproducibility, scalability, and maintainability of ML capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 This is a fully onsite position based at MacDill Air Force Base in Tampa, Florida. Remote work is not available for this role.
 <br/>
 <br/>
 <strong>
  Travel requirements:
 </strong>
 Willingness and ability to travel up to 25%.
 <br/>
 <br/>
 <strong>
  Necessary Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, Data Science, or a related technical discipline. (Master&rsquo;s preferred)
  </li>
  <li>
   5+ years of professional experience in software engineering, machine learning, or related fields.
  </li>
  <li>
   Experience with MLOps tools and frameworks (MLflow, Kubeflow, Airflow, DVC, etc.).
  </li>
  <li>
   Proficiency in building and deploying containerized ML services (Docker, Kubernetes).
  </li>
  <li>
   Strong understanding of CI/CD pipelines and DevOps practices applied to ML.
  </li>
  <li>
   Familiarity with PyTorch, TensorFlow, and deployment best practices.
  </li>
  <li>
   Knowledge of monitoring and logging systems (Prometheus, Grafana, ELK/EFK stacks).
  </li>
  <li>
   Proficiency in Python (C, Rust, or MATLAB a plus).
  </li>
  <li>
   Active U.S. Government Top Secret clearance with SCI eligibility (TS/SCI).
  </li>
  <li>
   U.S. Citizenship is required as only U.S. citizens are eligible for a security clearance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Beneficial Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior work on DoD programs, UAS/drone systems, or defense AI applications.
  </li>
  <li>
   Experience working with diverse data types (RF signals, imagery, video, sensor feeds).
  </li>
  <li>
   Experience deploying ML models to edge or constrained environments.
  </li>
  <li>
   Familiarity with secure software deployment in defense environments.
  </li>
  <li>
   Experience with air-gapped registries, offline updates, reproducible builds, and SBOM attestation in CI.
  </li>
  <li>
   Experience with Explainable AI/ML.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 CTI, a Parsons Company, is a rapidly growing company offering the following:
 <br/>
 <br/>
 <ul>
  <li>
   Medical, dental and vision insurance
  </li>
  <li>
   H.S.A. (partially funded by CTI) and Flex Spending
  </li>
  <li>
   Company-paid life insurance/AD&amp;D and disability insurance
  </li>
  <li>
   Optional supplemental life, critical illness, hospital indemnity and accident insurances
  </li>
  <li>
   Paid vacation, sick leave and holidays
  </li>
  <li>
   401k plan with Safe Harbor contribution
  </li>
  <li>
   Tuition reimbursement/professional training options
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Travel Assistance
  </li>
  <li>
   Financial Planning Assistance
  </li>
  <li>
   Voluntary Pre-Paid Legal
  </li>
  <li>
   Flexible schedules with telecommuting options
  </li>
  <li>
   Service awards program
   <br/>
   <br/>
  </li>
 </ul>
 CTI is an Equal Opportunity employer and shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
</div>


Machine Learning Engineer

Explore 189+ Associate data engineer in Tampa this March. Find roles across top companies and apply now to boost your career.

189 associate data engineer jobs In Tampa

Associate Data Engineer

Lead Data Engineer

AI Engineer

AI Engineer

GEN AI Engineer-1

AI/ML Engineer

Machine Learning Engineer