Full Time

ML Engineers

Flash.co
$90,000 - $150,000* / year (about $43–$72 an hour)

Job Description

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Flash.co, so some details may not match this job. The employer's own page has the real description.

Job Overview

Flash.co is seeking a highly skilled Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing machine learning models that drive our innovative applications. You will collaborate closely with data scientists and software engineers to integrate cutting-edge technologies into user-centric solutions, ensuring optimal performance and efficiency. Your expertise will contribute significantly to the development of predictive analytics, transforming data into strategic insights that propel our business forward.



Job Responsibilities

  • Develop and implement machine learning models and algorithms tailored to business needs.
  • Collaborate with cross-functional teams to gather requirements and define project objectives.
  • Analyze large datasets to derive meaningful insights and drive decision-making processes.
  • Optimize model performance through validation, testing, and tuning.
  • Deploy machine learning models into production environments and monitor their performance.
  • Document processes, models, and technologies to ensure knowledge transfer and maintainability.
  • Stay abreast of the latest trends and advancements in AI and machine learning technologies.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience in machine learning, deep learning, and algorithm design.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Familiarity with machine learning frameworks, such as TensorFlow, Keras, or PyTorch.
  • Solid understanding of statistical methods and data analysis techniques.
  • Experience with cloud computing platforms and services, such as AWS or Azure.
  • Excellent problem-solving skills and attention to detail.


Technologies & Tools

As a Machine Learning Engineer at Flash.co, you will be leveraging a variety of advanced technologies and tools to accomplish your tasks. You will utilize programming languages such as Python and R, machine learning frameworks like TensorFlow, Keras, and Scikit-learn, and data processing tools including Pandas and NumPy. Additionally, experience with cloud computing platforms such as AWS, Google Cloud, or Microsoft Azure will be essential for deploying machine learning solutions.



Ideal Candidates

The ideal candidate for the Machine Learning Engineer position at Flash.co is innovative, results-driven, and passionate about leveraging technology to solve complex problems. They should possess strong analytical skills and the capacity to think critically and creatively. Effective communication skills and a collaborative mindset are vital for working alongside diverse teams and stakeholders. A strong desire for continuous improvement and learning within the ever-evolving landscape of machine learning and AI will greatly enhance their fit within our organization.

In the Charlotte-Concord-Gastonia, NC-SC metro area, the middle pay across its 1.4 million jobs was $49,990 a year in May 2025, says the Bureau of Labor Statistics. Pay calculator →

View Similar Jobs

Matches Jobs

Similar jobs which you may be interested in. Typically using your existing skillset.