AI/ML Data Engineer (Fulltime)
Aptonet
- Tampa, Florida, United States
- Tampa, Florida, United States
Über
Hybrid – Tampa, FL (2 days onsite)
We are seeking a highly skilled
Data Engineer with strong AI/ML experience
to help modernize and scale enterprise Business Intelligence and advanced analytics capabilities. This role will design and build robust data pipelines, deploy production‑ready machine learning solutions, and operationalize intelligent analytics to support data‑driven decision‑making across the organization.
The ideal candidate combines strong data engineering fundamentals with applied machine learning expertise, MLOps best practices, and experience working with modern AI technologies.
Key Responsibilities Data Engineering & Architecture
Design, build, and maintain end‑to‑end data pipelines and integrations
Develop and optimize advanced SQL queries for high‑performance analytics
Build Kafka streaming applications and connectors
Develop Databricks workflows leveraging medallion architecture
Implement data governance standards, compliance controls, and security best practices
Develop Apache NiFi pipelines, including invoice and PO processing workflows
Integrate with purpose‑built data stores including Druid, MongoDB, OpenSearch, and Postgres
Build and maintain end‑to‑end ML pipelines for model training, deployment, monitoring, and optimization
Design scalable data architectures to support large ML workloads
Implement MLOps best practices for model lifecycle management
Explore and deploy LLM‑based solutions, Retrieval‑Augmented Generation (RAG) architectures, and generative AI use cases
Partner cross‑functionally with product, engineering, and business stakeholders
Translate business requirements into scalable data solutions
Mentor junior data engineers and promote engineering best practices
Communicate complex technical concepts clearly to stakeholders
Drive process improvements and ensure high standards of data accuracy and reliability
Serve as a technical liaison with data platform vendors
Evaluate vendor tools for targeted data and AI use cases
Provide feedback on product roadmaps
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related field
5+ years of experience in data engineering
2+ years of experience deploying machine learning solutions in production environments
Strong experience with distributed data systems and modern data platforms
Experience working with AI/ML frameworks and MLOps tooling
Hybrid work environment
Employer‑matched 401(k)
Company‑paid medical insurance option (employee + dependent children)
Company‑paid vision insurance (employee)
Company‑paid long‑term and short‑term disability
Company‑paid life and AD&D insurance
18 paid vacation days annually
Six paid holidays
Holiday bonus
Incentive compensation
Employee recognition programs
Community outreach opportunities
Business casual dress code
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Sprachkenntnisse
- English
Hinweis für Nutzer
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