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    • Model Delivery: Design, train, and deploy machine learning models (both classical and deep learning) that not only meet but exceed defined performance…
    • View all Orange and Bronze Software Labs, Inc. jobs - National Capital Region jobs - Machine Learning Engineer jobs in National Capital Region
    • Salary Search: AI/Machine Learning Engineer (remote, part-time & full-time) salaries in National Capital Region
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    • Experience developing applications using Generative AI, LLMs, machine learning, or intelligent automation.
    • The ideal candidate is a builder who is comfortable…
    • Design and develop machine learning, statistical, and AI models for applications such as credit, fraud, customer behavior, and operations.
    • Background in non-LLM machine learning — regression models, classifiers, and similar.
    • You will be building on an AI-powered platform designed for the lending…
    • Strong knowledge of statistical concepts, methods and machine learning algorithms.
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    • Establish and enforce best practices for model versioning, reproducibility, and end-to-end machine learning lifecycle management.
    • Take ownership of designing, developing, testing, deploying, and maintaining AI/ML models and large language model-based agent applications for consumer-facing…
    • This role is ideal for someone with strong experience in building and deploying production-grade AI/ML systems, particularly using large language models (LLMs),…
    • CI/CD for machine learning models.
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AI/Machine Learning Engineer (remote, part-time & full-time)
National Capital Region
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Remote
Full-time

Job details

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Job type

Full-time

Full job description

Career Opportunity:
AI/Machine Learning Engineer (remote, part-time & full-time)
Job Description

As an AI/Machine Learning (ML) Engineer, you will be at the forefront of translating challenging business needs into production-ready technical solutions. This role is pivotal for those who thrive on ownership, driving projects from the initial concept through to successful deployment.

This is a fantastic opportunity to grow your expertise across the entire ML stack and make a tangible contribution to our product.

Duties and Responsibilities
Model Delivery: Design, train, and deploy machine learning models (both classical and deep learning) that not only meet but exceed defined performance benchmarks and core business objectives.
Stakeholder Alignment: Collaborate proactively with Product Managers, Data Scientists, and other Engineers to translate requirements into technical specifications and ensure alignment on project scope and deliverables.
Iterative Improvement: Actively monitor model performance in production environments and drive continuous improvement by quickly gathering feedback and iterating on models and systems.
Required Skills & Qualifications
We’re looking for a highly motivated, creative, and responsible individual eager to drive results in the LLM/RL space.
You have demonstrated experience doing ML, which could be from coursework, personal projects, or previous work experience.
You are Fluent in Python and can rapidly build and iterate on environments.
You are a heavy user of LLMs in your daily work and are intimately familiar with their shortcomings and capabilities.
You demonstrate High responsibility and high integrity in all aspects of task creation and delivery.
You are a creative thinker who can generate novel task concepts in your specific domain.
Seniority Level
Junior,Mid-Level,Senior
Employment Type
Full-time
Job Function
Information Technology,Consulting,Engineering,Research & Development
Industries
IT Services,IT Consulting,Software Development
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