AI/ML Engineer

Reposted 2 Days Ago
Tampa, FL, USA
Hybrid
Junior
Financial Services
The Role
The AI/ML Engineer will design and implement AI solutions, collaborating with various teams to enhance production-grade services using ML and MLOps practices. Responsibilities include model lifecycle management, security measures, and ensuring reliability in AI applications.
Summary Generated by Built In

Join Fintech in Tampa, Florida as an AI/ML Engineer!

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—spanning traditional ML, generative AI (LLMs), and intelligent automation—using modern MLOps practices. Will have to own model lifecycle, scalability, observability, and security-by-design to ensure responsible, reliable AI in production.

Essential Functions:

Project Responsibility: End-to-end AI solutions.

Technical Competencies:

Data Analysis

  • Extensive experience in data analysis using Python.

Machine Learning & Deep Learning

  • Proficient with classical ML models and deep learning frameworks (PyTorch/TensorFlow)
  • Strong grasp of model evaluation, optimization, and training best practices

Generative AI & LLMs

  • Experience with LLMs, embeddings, prompt engineering, and RAG
  • Familiarity with fine‑tuning (LoRA/QLoRA) and applying guardrails/safety filters

MLOps / GenAIOps

  • CI/CD pipelines for ML/LLM, model registry, automated deployments
  • Monitoring for drift, performance, hallucination rate, and service reliability

Cloud & Infrastructure

  • Hands‑on with cloud ML platforms preferably Azure
  • Strong understanding of containerization (Docker) and IaC (Terraform/Bicep)

Data Platform

  • Familiarity with Moderns data platform like Vector DB/Graph Databases
  • Familiarity with different AI Architecture layers
  • Implementing data quality checks, lineage, and observability

Observability & Reliability

  • Setting up logs, metrics, dashboards (App Insights, Prometheus/Grafana)

Responsible AI & Security

  • Applying model cards, risk assessments, bias & safety evaluations
  • Implementing RBAC, secret management, network isolation

Soft Skills:

  • Cross-functional collaboration with product and engineering teams
  • Technical mentoring for junior engineers
  • Analytical thinking for complex data problems
  • Process improvement and efficiency focus
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Problem‑solving mindset – ability to break down ambiguous business problems into actionable AI/ML solutions
  • Communication clarity – explains complex technical concepts in simple, actionable terms to non‑technical stakeholders
  • Adaptability & learning agility – stays current with fast‑evolving AI/LLM technologies and adjusts approaches quickly
  • Critical thinking – evaluates risks, tradeoffs, and ethical considerations objectively
  • Product orientation – focuses on business impact, user experience, and measurable value

Qualifications:

  • Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.
  • 1+ years’ experience in AI implementation and 3+ years of ML experience.

Our Benefits:

  • Employer Matched 401K 
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short-Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

About Fintech:

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.

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’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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Top Skills

Azure
Bicep
Docker
Python
PyTorch
TensorFlow
Terraform
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The Company
HQ: Tampa, FL
1,116 Employees
Year Founded: 1991

What We Do

Fintech (Financial Information Technologies) is a payment and data solution for the alcohol industry. We're dedicated to saving businesses time and money by offering a safe, secure way for alcohol purchases to be paid electronically. Using Fintech’s award winning system, both alcohol distributors and retailers are able to regulate alcohol payments and control purchases. As a result, businesses can ensure invoices are paid on time, utilize detailed reconciliation reporting, and guarantee state liquor law compliance. Immediate Benefits: • Elimination of cash, checks and money orders • Enhanced security and prevention of loss and fraud • Quicker deliveries (time reduced by an average of 15 minutes per delivery) • Electronic invoicing with line-item detail reporting • Analysis of purchase data to help businesses control alcohol spend • Assurance of state liquor law compliance Since its start in 1991, Fintech has been committed to providing the alcohol industry with a superior data and electronic payment service that refines financial security and preserves the integrity of businesses within the structure of the liquor laws governed by each state.

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