care manager - usftgp umsa quality and safety

ai engineer

ai/ml engineer

associate data engineer

chief engineer

civil engineer iii

ai ml engineer

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

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

<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

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

<div>Tampa, Florida 33592 Posted March 2nd, 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><p><b>Role </b>- Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI)<br>
<b>Location - </b>Tampa, FL and Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></p><p></p><p><b><br>
Job Description:</b></p><ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Python Developer– Generative AI & Cloud (Agentic AI)-5

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/03/2026</p>
</div><div><p>Description</p>
<div><p>We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.</li><li>
Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.</li><li>
Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).</li><li>
Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.</li><li>
Contribute to the development and optimization of real-time and streaming AI solutions.</li><li>
Stay current with the latest advances in generative AI and actively share knowledge with the team.</li><li>
Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.</li><li>
Mentor junior team members, provide code reviews, and foster a culture of technical excellence.</li></ul><p><b>
Required Technical Skills:</b></p><ul><li>
Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.</li><li>
Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.</li><li>
Proficient in prompt engineering and familiarity with prompt design tools/frameworks.</li><li>
Experience building RAG systems, including hybrid search and multi-vector retrieval.</li><li>
Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.</li><li>
Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.</li><li>
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.</li><li>
Familiarity with generative AI tools like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.).</li><li>
Solid understanding of AI compliance, guardrails, and responsible AI practices.</li><li>
Strong skills in Python and experience with data preprocessing, feature engineering, and API development.</li></ul><p><b>
Required Soft Skills:</b></p><ul><li>
Strong collaboration skills to work effectively in cross-functional teams.</li><li>
Analytical and proactive approach to problem-solving.</li><li>
Clear communication skills for both technical and non-technical audiences.</li><li>
Eagerness to learn, innovate, and mentor less experienced developers.</li></ul><p><b>
Qualifications:</b></p><ul><li>
At least 5 years of experience in AI/ML, including significant experience in Generative AI.</li><li>
Demonstrated portfolio of successful AI-driven projects in a business environment.</li><li>
Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.</li></ul><p>
Education:</p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Tampa Florida United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$113,840.00 - $170,760.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 10, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
113,840.00 - 170,760.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Gen AI Developer -Vice President

<div><div><p>Posted Date</p>
<p>3/03/2026</p>
</div><div><p>Description</p>
<div><p>The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements</li><li>
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards</li><li>
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint</li><li>
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation</li><li>
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals</li><li>
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions</li><li>
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li><li>
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets.</li><li>
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management.</li><li>
Build and maintain advanced dashboards, KPIs, and automated reporting frameworks to monitor business performance.</li><li>
Partner with business stakeholders to translate requirements into analytical and machine learning solutions.</li><li>
Design and implement feature engineering pipelines and model evaluation frameworks.</li><li>
Collaborate with Data Engineering teams to ensure scalable data pipelines and ML-ready datasets.</li><li>
Operationalize machine learning models through production deployment and monitoring (MLOps practices).</li><li>
Analyze trends, anomalies, and behavioral patterns using statistical and machine learning techniques.</li><li>
Ensure model governance, explainability, fairness, and compliance with regulatory requirements.</li><li>
Automate analytics workflows and implement scalable AI-driven solutions.</li><li>
Present analytical findings and model insights to senior leadership and cross-functional teams.</li><li>
Mentor junior analysts and data scientists on advanced analytics and ML best practices.</li><li>
Drive continuous improvement in analytical methodologies, model performance, and reporting standards.</li><li>
Influence strategic decisions through data science and AI-powered insights.</li><li>
Manage multiple priorities in a fast-paced, highly regulated environment.</li></ul><p><b><br>
Recommended Qualifications:</b></p><ul><li>
At least 6+years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles.</li><li>
Extensive experience system analysis and in programming of software applications</li><li>
Experience in managing and implementing successful projects</li><li>
Subject Matter Expert (SME) in at least one area of Applications Development</li><li>
Ability to adjust priorities quickly as circumstances dictate</li><li>
Demonstrated leadership and project management skills</li><li>
Consistently demonstrates clear and concise written and verbal communication</li><li>
Advanced proficiency in SQL and relational database concepts.</li><li>
Strong programming experience in Python (required); PySpark or R preferred.</li><li>
Hands-on experience building and deploying machine learning models (supervised and unsupervised).</li><li>
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.</li><li>
Strong knowledge of statistical modeling, feature engineering, and model validation techniques.</li><li>
Experience with BI tools such as Tableau or Power BI.</li><li>
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred.</li><li>
Experience working with large-scale enterprise or financial datasets.</li><li>
Understanding of data warehousing, ETL, and big data ecosystems.</li><li>
Strong problem-solving, analytical thinking, and stakeholder management skills.</li><li>
Proven ability to communicate complex AI/ML insights to non-technical audiences.</li><li>
Experience in banking or financial services preferred.</li><li>
Knowledge of model risk management or regulatory analytics is a plus.</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience, specialization in AI/ML/Data Science preferred.</li></ul><p></p><p><br>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Tampa Florida United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$113,840.00 - $170,760.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 10, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
113,840.00 - 170,760.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Apps Dev Tech Lead Analyst - Vice President

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