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Top Python Jobs in Albuquerque, NM

2 Days Ago
United States
Remote
6 Employees
Expert/Leader
6 Employees
Expert/Leader
Information Technology • Consulting
As a DevOps Engineer, you will enhance customer experience by deploying product updates, resolving production issues, and implementing integration solutions. Your role will also involve automating processes and ensuring compliance with HIPAA guidelines through system configurations and security protocols.
9,069 Employees
Senior level
Healthtech
The Principal Engineer - Software will lead the technical direction of product offerings, oversee large-scale projects, mentor engineers, and ensure effective software engineering practices throughout the product lifecycle. This role requires expertise in web applications, cloud architecture, and development frameworks, along with a passion for technology and mentoring.
2 Days Ago
United States
Remote
30 Employees
Senior level
30 Employees
Senior level
Artificial Intelligence • Generative AI
As a Senior Software Engineer at Maven AGI, you will lead software development efforts, including design, coding, testing, and deployment. You'll collaborate on architectural design, maintain security measures, resolve technical challenges, implement testing protocols, and document processes. Your influence will enhance product performance and quality in a fast-paced environment.
2 Days Ago
United States
Remote
22 Employees
150K-275K Annually
Mid level
22 Employees
150K-275K Annually
Mid level
Software
The Senior DevOps Engineer at Anza is responsible for maintaining large-scale distributed systems, automating deployments, and managing CI pipelines. Key tasks include monitoring blockchain clusters, developing CI systems, and delivering tested software releases.
2 Days Ago
United States
Remote
24 Employees
Mid level
24 Employees
Mid level
Legal Tech • Software
As a Research Engineer, you'll design and implement features for BoostDraft's document editor, focusing on LLM, Deep Learning, and NLP technologies. Your responsibilities include interviewing customers for feature design, analyzing legal documents, and evaluating cutting-edge technologies.
2 Days Ago
United States
Remote
5,000 Employees
Senior level
5,000 Employees
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
As an MLOps Engineer at Tiger Analytics, you will develop and manage machine learning pipelines, deploy and test models using AWS services, and collaborate with Data Engineers and Data Scientists to enhance data workflows. You will also implement monitoring solutions and develop data quality frameworks.
2 Days Ago
United States
Remote
196 Employees
Senior level
196 Employees
Senior level
Cloud • Software • Database
As a Senior Software Engineer, you will work closely with customers to address product-related issues, enhance product usage, and improve customer satisfaction. You will drive resolutions for customer issues by collaborating with engineering teams, identify and implement product enhancements, and develop diagnostic tools to streamline troubleshooting processes.
2 Days Ago
United States
Remote
440 Employees
Senior level
440 Employees
Senior level
Information Technology
The Senior Software Engineer will develop user-friendly interfaces for a machine learning and AI cloud platform, implement AI models and tools, and oversee features from design to deployment. They will also enhance the developer experience through automation and possess strong skills in building available systems.
2 Days Ago
United States
Remote
90 Employees
Mid level
90 Employees
Mid level
Software
As a Full Stack Software Engineer, you will design and develop features for a SaaS employee performance platform, focusing on full application development, UI/UX, API integration, and performance optimization.
Top Benefits:
401-K
Dental Insurance
Disability Insurance
+11 More
2 Days Ago
United States
Remote
38 Employees
Mid level
38 Employees
Mid level
Internet of Things
As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines, drive impactful business decisions, and manage the data infrastructure in collaboration with data engineers and scientists while ensuring high-quality outputs.
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