AI/ML Data Engineer — Production ML Pipelines (Hybrid)
Aptonet
Tampa (FL)
Hybrid
USD 100,000 - 130,000
Full time
14 days+
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Benefits offered by this job
Employer-matched 401(k)
Company-paid medical insurance
Company-paid vision insurance
Company-paid life and AD&D insurance
18 paid vacation days annually
Holiday bonus
Incentive compensation
Employee recognition programs
Community outreach opportunities
Business casual dress code
Job summary
A leading tech company is seeking a highly skilled Data Engineer with strong AI/ML experience to design and build data pipelines and deploy machine learning solutions. The ideal candidate will have at least 5 years in data engineering and 2 years deploying ML in production. This hybrid role offers employer-matched 401(k), paid medical insurance, and 18 paid vacation days annually, amongst other benefits.
Qualifications
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.
Responsibilities
Design, build, and maintain end-to-end data pipelines and integrations.
Develop and optimize advanced SQL queries for high-performance analytics.
Implement MLOps best practices for model lifecycle management.
Skills
Data engineering fundamentals
Applied machine learning expertise
MLOps best practices
SQL
Kafka
Apache NiFi
Data governance standards
ML pipeline development
Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related field
Tools
Databricks
Druid
MongoDB
OpenSearch
Postgres
Job description
A leading tech company is seeking a highly skilled Data Engineer with strong AI/ML experience to design and build data pipelines and deploy machine learning solutions. The ideal candidate will have at least 5 years in data engineering and 2 years deploying ML in production. This hybrid role offers employer-matched 401(k), paid medical insurance, and 18 paid vacation days annually, amongst other benefits.