Top 123 Python developer Jobs in Durham Nc

Senior Machine Learning Engineer III ***Raleigh, NC***
RELX —Raleigh, NC
- $118,300 - $219,800 a year
- Full-time
- Computer Science
- System design
- Office
Senior Software Engineer
TaxPlanIQ —United States
- $100,000 - $140,000 a year
- Email
- Remote
- Background check
- System design
- Java
- Health insurance
- Dental insurance
Quick Apply
Sr Risk Systems Developer
Community Choice Financial Family of Brands —United States
- Full-time
- Computer science
- Azure
- Computer Science
- Paid training
- Health savings account
Senior Software Development Engineer
CVS Health —Raleigh, NC
- $83,430 - $166,860 a year
- Full-time
- Computer Science
- Research
- 3 years
- Health insurance
- Dental insurance
2h

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Senior Machine Learning Engineer III Raleigh, NC

RELX -
Raleigh, NC

Apply Now

Job Details

Full-time
$118,300 - $219,800 a year

Qualifications

AI models
Containerization systems
Search engines
Software engineering
Continuous Delivery (CD) implementation
Software implementation
System design
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
System design for system development
Production systems
Data caching
Machine intelligence
Model deployment
Systems engineering
Cloud Native Design
Scalability
Software testing
In-memory caching
Cloud automation
Machine learning (ML) fundamentals
Distributed computing
DevOps automation
Real-time data processing implementation
Python
Design (software development lifecycle)
MLOps

Full Job Description

Are you looking to develop your Machine Learning Engineer career?

Do you enjoy coaching others to achieve high standards?

This is a full-time position based in Raleigh, NC .

(Hybrid - 3 days in office)

About the Role

We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale —owning system architecture, infrastructure, and productionization of ML/LLM solutions.

You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.

Key Responsibilities

Architect and implement scalable ML/LLM systems in production.
Build and deploy LLM applications, including RAG pipelines and agentic systems.
Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
Develop and maintain APIs, microservices, and model serving infrastructure.
Build data pipelines and streaming systems for large-scale data processing.
Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
Optimize systems for latency, scalability, reliability, and cost efficiency.
Establish best practices for deployment, monitoring, observability, and CI/CD.
Collaborate with Data Scientists to productionize models and integrate into products.
Provide technical leadership in system design and engineering standards.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong experience implementing and scaling production ML/LLM systems.
Deep experience with LLM application development, including RAG and prompt orchestration .
Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
Experience building scalable APIs (REST/GraphQL).
Experience with containerization and orchestration (Docker, Kubernetes).
Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications

Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
Experience with big data technologies (e.g., Spark, Hadoop).
Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
Experience building high-availability, low-latency systems.
Experience in legal or regulatory domains.

Key Competencies

Strong system architecture and scalability mindset.
Ownership of implementation, performance, and reliability.
Ability to translate data science solutions into production systems.
Cross-functional collaboration with DS, product, and platform teams.
Excellent debugging, optimization, and operational skills.
Clear communication of technical designs and trade-offs.

#AIFluent

U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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