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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
    • Solid understanding of machine learning algorithms, statistics, and probability.
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    • Build, train, and evaluate machine learning models across traditional ML, NLP, and LLM/GenAI use cases, under the guidance of senior team members.
    • Basic understanding of AI, machine learning, data collection, or technology projects.
    • This position is suitable for candidates who are interested in *AI,…
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Job Post Details

AI/Machine Learning Engineer (remote, part-time & full-time) - job post

Orange and Bronze Software Labs, Inc.
4.1 out of 5 stars
National Capital Region•Remote
You must create an Indeed account before continuing to the company website to apply

Job details

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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