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Sr Machine Learning Engineer Jobs in Athens, GA (NOW HIRING)

... machine-learning-based predictive systems. * Familiarity with automotive quality standards and Tier 1 supplier operations. * Hands-on maintenance or reliability engineering background. Please Note:

... machine-learning-based predictive systems. * Familiarity with automotive quality standards and Tier 1 supplier operations. * Hands-on maintenance or reliability engineering background. Please Note:

Civil Engineering Tutor

Athens, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... senior capstone design. * Effective Teaching Methods: Ability to identify concepts students ...

Experience with Programmable Logic Controls (PLC) programs. * 3+ years of work order management ... learning,coaching,and formal training.We provide employees with resources that support them in ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Athens, GA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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CAD Design Drafter

Athens, GA · On-site

$75K - $80K/yr

Collaborate with senior engineers to analyze piping systems and identify optimization opportunities ... A proactive attitude towards learning and professional development. * Ability to work effectively ...

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CAD Design Drafter

Athens, GA · On-site

$75K - $80K/yr

Collaborate with senior engineers to analyze piping systems and identify optimization opportunities ... A proactive attitude towards learning and professional development. * Ability to work effectively ...

Sr. EHS Specialist

Gainesville, GA · On-site

$80K - $86K/yr

Support core safety programs, including Lockout/Tagout (LOTO), machine guarding, confined space ... Bachelor's degree in Occupational Safety, Environmental Science, Industrial Engineering ...

Showing results 41-60

Sr Machine Learning Engineer information

See Athens, GA salary details

$57.5K

$122.2K

$177.2K

How much do sr machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sr machine learning engineer in Athens, GA is $122,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What are popular job titles related to Sr Machine Learning Engineer jobs in Athens, GA?

For Sr Machine Learning Engineer jobs in Athens, GA, the most frequently searched job titles are:

What cities near Athens, GA are hiring for Sr Machine Learning Engineer jobs?

Cities near Athens, GA with the most Sr Machine Learning Engineer job openings:

Infographic showing various Sr Machine Learning Engineer job openings in Athens, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,202 per year, or $58.8 per hour.

Senior Software Engineer - Contact Center Technology

ASCENSUS

Athens, GA • Remote

$118K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

At Ascensus, we are building a team that is empowered to use AI to solve the business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation.

We are looking to add a software engineer who will design, develop, and support conversational AI solutions that enhance customer and associate experiences across our contact center platforms. This role combines software engineering, generative AI, prompt engineering, and customer engagement technologies to deliver virtual agents, intelligent self-service capabilities, agent assist solutions, and AI-powered business workflows. If you're AI-Forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You'll work with a modern tech stack including Python, .NET, Azure OpenAI, LangChain, PostgreSQL, Docker, Cursor, Git, Azure DevOps, NICE CXone, AI Agents, and conversational AI technologies to deliver high value software to our business.

Section 2: Job Functions, Essential Duties and Responsibilities

Design, develop, test, and maintain conversational AI experiences including voice bots, chatbots, virtual assistants, and agent-assist solutions using NICE CXone, Azure OpenAI, and related technologies.

Create and optimize conversational flows, prompts, intents, and knowledge retrieval mechanisms to improve customer and associate experiences.

Analyze conversation transcripts and interaction data to continuously improve AI accuracy, containment rates, and customer satisfaction.

Develop integrations between NICE CXone and internal systems using APIs, event-driven architectures, and AI services.

Support the design and implementation of intelligent routing, self-service, and automation capabilities within the contact center ecosystem.

Partner with contact center business teams to identify opportunities for AI-driven process automation and customer experience improvements.

Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents.

Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value.

Monitor AI solution performance and implement safeguards to ensure accuracy, compliance, reliability, and responsible AI usage.

Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines.

Work with PostgreSQL and other data technologies to design efficient, reliable data models.

Develop and consume REST APIs to enable seamless integration across services and platforms.

Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team.

Contribute to the evolution of our AI-driven development environment using tools like Cursor.

Stay current with emerging technologies and bring a mindset of continuous learning and experimentation.

Section 3: Experience, Skills, Knowledge Requirements

A strong interest in leveraging AI and the latest tools to drive innovation and efficiency.

Extensive experience using .NET to develop web applications and back-end services

Extensive experience designing, developing, and integrating REST APIs in distributed systems and enterprise applications.

Ability to design, develop, test, and maintain scalable MCP server architectures using Python

Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code.

Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks.

Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability.

Experience with NICE CXone or similar contact center platforms such as Genesys, Five9, Amazon Connect, or Cisco Contact Center.

Understanding of contact center operations, including inbound and outbound customer engagement.

Familiarity with IVR design, intelligent routing, call flows, skills-based routing, and self-service automation.

Experience integrating contact center platforms with CRM, case management, and enterprise business systems.

Experience designing, implementing, or supporting virtual agents, chatbots, voice bots, or conversational AI platforms.

Understanding of natural language processing (NLP), natural language understanding (NLU), speech recognition, and text-to-speech technologies.

Experience evaluating and improving AI-generated responses for accuracy, effectiveness, and customer experience outcomes.

Experience working with other developers, quality engineers (QE), ops engineers and support engineers to ensure smooth deployment and continual operation

Strong problem-solving skills, attention to detail, and a passion for learning and applying new technologies.

Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.

Familiarity or experience with Agile engineering practices (test driven development, continuous integration and pair programming, etc.

Ability to work with legacy systems while contributing to modernization efforts.

Familiarity with Agile methodologies and open-source development practices.

The national average salary range for this role is$100K-160K in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visitcareers.ascensus.com/#Benefits

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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