Machine Learning Engineer

Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience designing data-intensive solutions in a multi-line business environment.
  • Proficient with ML and AI frameworks and tools like Keras, PyTorch, and scikit-learn.
  • Experience deploying scalable end-to-end ML solution patterns for batch and live streaming transactions.
  • Strong creative and critical thinking skills.
  • Hands-on experience in developing and productionizing ML models, including Classification, NLP, and Deep Learning models.
  • Familiarity with scalable data processing and feature development.
  • Understanding of statistics and its application in evaluating ML models.

Responsibilities

  • Transform data science prototypes into fully operational ML systems.
  • Implement cutting-edge ML algorithms and tools based on business requirements.
  • Collaborate cross-functionally to develop ML products and systems.
  • Design workflows that facilitate efficient development of ML models at scale.
  • Evolve ML models and software to create state-of-the-art intelligent systems.
  • Extend existing ML libraries with the latest data science advancements.
  • Integrate data from multiple sources to develop new Data Products for actionable insights.

Benefits

  • Permanent job position with a stable environment.
  • Opportunity to work with cutting-edge Machine Learning and AI technologies.
  • Collaborative and cross-functional work culture for professional growth.
  • Location in Atlanta, GA, a vibrant tech hub with opportunities for networking.
Full Job Description
Job Description:

JOB SUMMARY
This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale.

RESPONSIBILITIES
• Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models.
• Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements
• Collaborates with others to deliver ML products and systems for the organization.
• Designs workflows and analysis tools to streamline the development of new ML models at scale.
• Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles.
• Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field.
• Establishes, configures, and supports scalable Cloud components that serve prediction model transactions
• Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems.

QUALIFICATIONS
Requirements:
• Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment.
• Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems.
• Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions
• Possesses creative and critical thinking skills.
• Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features.
• Experience with scalable data processing, feature development, and model optimization.
• Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models.
• Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development
• Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory.
• Works collaboratively, both in a technical and cross-functional context.
• Strong written and verbal communication.
• Bachelors' (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

OTHER CRITERIA:
  • This job is a grade 20G.
  • Hours of Operation are subject to change: 8:00 AM - 5:00 PM EST.
  • Position is located in Atlanta, GA.
  • Must be currently located in the same geographic location as the job or willing to self-relocate.
  • No Relocation assistance offered.
  • Employer will not sponsor visas for position.
  • Last day to apply for internal applicants is 11:59 PM EST on 08/07/2026.


Employee Type:
Permanent

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