MACHINE LEARNING ENGINEER CH

Hello, Machine Learning Engineers!My name is Nate Ginsburg and I am a serial entrepreneur.
I'm the founder of SellerPlex, host of the Ecom Exits Podcast, and partner in a handful of other online businesses.
bout the company.
ellerPlex is growing fast and we are in need of awesome people to help us give value to our clients and build awesome professional relationships with them.
ur mission is to help empower e-commerce/FBA entrepreneurs to run better businesses by supporting them with Supply Chain, Finance, and Operations services.
We’re a huge believer in the importance of being a culture fit for long-term success.
bout the role.
s a Machine Learning Engineer, you will design, implement, and deploy advanced machine learning models and algorithms to tackle complex business challenges.
Your expertise will be instrumental in creating systems that can learn from and make predictions based on data, which is crucial for optimizing processes in areas like Supply Chain.
his is an Hourly Remote Role.
Responsibilities.
Develop and train machine learning models to solve specific business problems.
Implement and optimize algorithms for performance and scalability.
Collaborate with data scientists and engineers to integrate models into production systems.
Monitor and evaluate model performance, making adjustments as needed.
Stay updated with the latest advancements in machine learning and artificial intelligence.
Working completely remote Location independence Great opportunity to grow You’ll be joining a high-level and fast-paced team, working with exciting businesses and projects If this sounds interesting to you please proceed with your application.
indly be advised that the recruitment process is being managed by Premier Media.
For any further details or inquiries, please reach out to the Premier Media recruitment team, as they oversee all our hiring procedures.
he application procedure is simple.
After submitting your proposal, I'll send you some questions regarding your experience.
Shortlisted candidates will be invited to perform a test project or a remote interview.
hanks and I look forward to hearing from you! Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Master’s degree or PhD in Machine Learning, Artificial Intelligence, or a related field (preferred).
3-5 years of experience in machine learning or a related role.
Strong programming skills in Python, Java, or C++.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Knowledge of algorithm design and implementation.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.