Machine Learning Engineer III - AI/ML Engineer Location: Atlanta, GA Duration: 6 Months Client: Southern Company services Job Summary We are seeking an experienced Machine Learning Engineer III / AI ...
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Machine Learning Engineer III - AI/ML Engineer Location: Atlanta, GA Duration: 6 Months Client: Southern Company services Job Summary We are seeking an experienced Machine Learning Engineer III / AI ...
Mentor junior engineers and contribute to ML engineering best practices. Required * Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. * 3+ years of ...
Mentor junior engineers and contribute to ML engineering best practices. Required * Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. * 3+ years of ...
Machine Learning Engineer
Duluth, GA · On-site
$120 - $180/hr
Productionalizemodels-- packagemodelsfordeploymentonAzureML/Fabric,withMLflow-basedregistry,monitoring,andretrainingpipelines Skills/Requirements * 4-8 years of data science and/or ML engineering ...
Machine Learning Engineer
Duluth, GA · On-site
$120 - $180/hr
Productionalizemodels-- packagemodelsfordeploymentonAzureML/Fabric,withMLflow-basedregistry,monitoring,andretrainingpipelines Skills/Requirements * 4-8 years of data science and/or ML engineering ...
Machine Learning Engineer III - AI/ML Product Engineering Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Only W2 Candidates Southern Company Services is seeking an ...
New
Quick apply
Machine Learning Engineer III - AI/ML Product Engineering Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Only W2 Candidates Southern Company Services is seeking an ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Founding Machine Learning Engineer information
What is a founding machine learning engineer?
A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.
How much does a founding machine learning engineer make?
A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.
What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?
As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.
What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?
To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Georgia? For Founding Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:
- Machine Learning Engineer New Grad
- Senior Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Google Cloud Machine Learning Engineer
- Junior Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Senior Machine Learning Researcher
- Embedded Machine Learning Engineer
- Remote Machine Learning Engineer
- Remote Senior Machine Learning Engineer
What job categories do people searching Founding Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Founding Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Founding Machine Learning Engineer jobs? Cities in Georgia with the most Founding Machine Learning Engineer job openings:
Contractor
Re-posted 6 days ago
Job description
Position: Machine Learning Engineer III – AI/ML Engineer
Location: Atlanta, GA
Duration: 6 Months
Client: Southern Company services
Job Summary
We are seeking an experienced Machine Learning Engineer III / AI-ML Engineer to support the development of reusable, scalable AI products that can be deployed across multiple operating companies and business units.
This role will focus on building production-grade AI solutions, including Retrieval-Augmented Generation (RAG), multi-agent orchestration, NLP pipelines, transcription solutions, model deployment, and reusable AI components for internal operational workflows.
The ideal candidate will have strong hands-on experience with GCP or Azure AI services, modern ML frameworks, strong software engineering skills, and a product-focused mindset.
Key Responsibilities
- Design and build modular, reusable AI components that can scale across business units.
- Lead development of scalable RAG-based solutions for document comparison and analysis.
- Work with structured and unstructured data to support AI-driven business solutions.
- Engineer multi-agent systems for intelligent task coordination and decision support.
- Develop transcription and NLP pipelines for customer interaction analysis.
- Build, fine-tune, and deploy models using tools and frameworks such as PyTorch, Transformers, and LangChain.
- Package models for deployment in GCP, Azure ML, and/or Databricks.
- Integrate with Databricks for data ingestion, feature engineering, experimentation, and model development.
- Work closely with MLOps, DevOps, and Data Engineering teams to align infrastructure and deployment patterns.
- Contribute to shared libraries, APIs, templates, and reusable frameworks that accelerate AI product delivery.
- Provide technical guidance to teams adopting reusable AI components.
- Ensure AI products meet enterprise-grade security, compliance, scalability, and maintainability standards.
- Implement monitoring for model performance, data drift, usage metrics, and production reliability.
Required Qualifications
- Experience as a Machine Learning Engineer, AI Engineer, Data Scientist, or similar technical role.
- Strong experience building production-grade AI/ML solutions.
- Hands-on experience with cloud-based AI services, preferably GCP or Azure.
- Experience developing RAG-based applications using structured and unstructured data.
- Strong knowledge of machine learning, NLP, LLMs, and modern AI application patterns.
- Experience with frameworks and tools such as:
- PyTorch
- Transformers
- LangChain
- Experience deploying models in cloud or enterprise environments.
- Strong programming and software engineering skills.
- Ability to work with APIs, reusable components, and scalable architectures.
- Experience collaborating with MLOps, DevOps, and data engineering teams.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Azure ML, GCP Vertex AI, Databricks, or similar platforms.
- Experience designing multi-agent systems or AI orchestration workflows.
- Experience developing transcription, NLP, or customer interaction analytics pipelines.
- Experience with model monitoring, data drift detection, observability, and usage metrics.
- Experience building shared AI libraries, reusable templates, or internal AI platforms.
- Understanding of enterprise security, compliance, and governance requirements for AI products.
- Product mindset with the ability to design AI solutions that are reusable, scalable, and business-focused.