Top 26 Ai/ml engineer Jobs in Memphis, Tn

Senior Data Engineer
Intellivo —Memphis, TN
- Full-time
- Computer Science
- Bachelor of Science
- HIPAA
Quick Apply
Systems Engineer
AutoZone —Memphis, TN
- Online Application
- SQL
- Analysis skills
- Military encouraged
- Store discount
- Employee stock purchase plan
11d
Senior Artificial Intelligence Engineer
St. Jude Children's Research Hospital —Memphis, TN
- $86,320 - $154,960 a year
- Full-time
- Computer Science
- System design
- Master's degree
5d
Systems Engineer - Cloud Ops
AutoZone —Memphis, TN
- Online Application
- Computer science
- Computer Science
- System design
- Store discount
- Employee stock purchase plan
Senior Computational Engineer
St. Jude Children's Research Hospital —Memphis, TN
- $86,320 - $154,960 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
6d
Site Reliability Engineer - Data Center
SpaceXAI —Memphis, TN
- On call
- Computer science
- Computer Science
- Mid-level
Quick Apply
10d
Cyber Full-Stack Technical Software Engineer
Deloitte —Memphis, TN
- $122,000 - $240,500 a year
- Full-time
- Azure
- Computer Science
- Mid-level
Cyber Full-Stack Technical Architect/Manager
Deloitte —Memphis, TN
- $148,200 - $292,300 a year
- Full-time
- 7 years
- Azure
- SQL
1d
AI Security Engineer Manager
Deloitte —Memphis, TN
- $118,700 - $243,700 a year
- Full-time
- Azure
- Computer Science
- System design
Senior Data Product Analyst - Data Management Engineer III
Deloitte —Memphis, TN
- $107,900 - $179,900 a year
- Full-time
- Azure
- Computer Science
- 3 years
2d
Cyber Forward Deployed Engineer - Senior Consultant
Deloitte —Memphis, TN
- $134,500 - $265,100 a year
- Full-time
- Azure
- Management
- Computer Science
12d
Go-to-Market - Memphis, TN, USA
Speechify —Memphis, TN
- $105,000 - $200,000 a year
- Call employer
- Remote
- Mid-level
- 3 years
- Machine learning
5d

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Senior Data Engineer

Intellivo -
Memphis, TN

Quick Apply

Job Details

Full-time

Qualifications

Commercial use (data warehousing systems)
Software engineering
Data Integration (Data management)
Data validation techniques
Infrastructure as Code (IaC)
Systems architecture experience within technology
HIPAA
Infrastructure architecture design
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Continuous integration
Health information regulatory compliance
Cloud automation
Clinical confidentiality policies
DevOps automation
Data analytics tools
Developer tools
Python
Debugging
Database software proficiency

Full Job Description

Senior Data Engineer

Role Summary

The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and platform infrastructure within a medallion architecture (Bronze, Silver, Gold) on Microsoft Fabric and OneLake. This role delivers enterprise-grade ingestion, transformation, and enrichment solutions that convert raw healthcare, legal, and insurance data into structured intelligence signals used for identification scoring, analytics, and operational reporting.

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ability to operate in a regulated healthcare environment with strict HIPAA compliance and multi-tenant data isolation requirements across a large portfolio of client contracts. This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ensure reliable, governed, and performant data delivery across the organization.

Core Responsibilities

Data Ingestion Pipeline Development
- Design and build data ingestion pipelines from multiple structured and unstructured sources including healthcare claims, P&C insurance data, and legal filings into the Bronze layer of the medallion architecture.
- Optimize ingestion workflows for reliability, throughput, and compliance across regulated production environments.
- Implement error handling, retry logic, and dead-letter patterns to ensure pipeline resilience.
Medallion Architecture and Transformation
- Develop Silver layer transformation logic including normalization, deduplication, entity resolution, and schema enforcement within Microsoft Fabric and OneLake.
- Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting.
- Maintain Feature Store pipelines that produce machine learning-ready feature sets for model training and inference.
Data Governance and Compliance
- Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and restrictions on data persistence or model training.
- Implement multi-tenant data isolation patterns including partitioning, access controls, and governed data handling across a large number of client contracts.
- Document data lineage, transformations, and data contracts to support governance, audit readiness, and operational clarity.
Data Quality and Monitoring
- Build and maintain data quality validation scripts to detect schema drift, completeness gaps, and business-rule violations across pipeline stages.
- Implement monitoring on pipeline health, data freshness, and operational exceptions to maintain high-confidence production data.
- Establish alerting and escalation processes for pipeline failures and data anomalies.
Cross-Functional Collaboration
- Partner with ML Engineering and Data Science to deliver features that support model retraining, scoring pipelines, and identification engine capabilities.
- Collaborate with Software Engineering, Analytics, and business stakeholders to translate operational needs into reliable, production-ready data solutions.
- Contribute to architectural decisions and technical documentation that support the broader data platform strategy.

Qualifications

Required

B.S. or B.A. in Computer Science, Information Systems, Mathematics, or a related field.
7+ years of professional data engineering experience, preferably within Azure-based or Microsoft Fabric environments.
Hands-on experience designing enterprise data pipelines, ETL/ELT workflows, and medallion or lakehouse architecture patterns.
Strong programming skills in Python, with advanced SQL experience and data quality validation logic.
Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data orchestration tools.
Working knowledge of CI/CD practices for data pipelines and infrastructure-as-code concepts.
Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate pipeline development, code generation, and debugging workflows.

Preferred

Familiarity with healthcare data formats (claims, eligibility, EDI 837/835) and HIPAA compliance requirements.
Experience with multi-tenant data architectures and governed data handling in regulated environments.
Exposure to ML feature engineering, Feature Store design, or data pipelines supporting model training workflows.
Experience with dbt, PySpark, or similar transformation frameworks.

Professional Skills

Highly organized with the ability to manage multiple concurrent technical workstreams.
Critical thinker with strong problem-solving ability and attention to detail.
Clear communicator, comfortable working asynchronously with distributed teams.
Self-directed with a track record of driving projects through completion without constant oversight.

Quick Apply

Refine Your Search

ai/ml engineer jobs in memphis, tn

Senior Data Engineer

Systems Engineer

Senior Artificial Intelligence Engineer

Systems Engineer - Cloud Ops

Senior Computational Engineer

Site Reliability Engineer - Data Center

Cyber Full-Stack Technical Software Engineer

Cyber Full-Stack Technical Architect/Manager

AI Security Engineer Manager

Senior Data Product Analyst - Data Management Engineer III

Cyber Forward Deployed Engineer - Senior Consultant

Go-to-Market - Memphis, TN, USA

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