Peakflo is providing a work-from-home position of a Machine Learning Engineer Intern, and it is a great choice to those who want to pursue a career in AI and data-driven technologies. Students who have completed a Bachelor’s or Master degrees in any of the following fields are eligible: Computer Science, Data Science, or similar disciplines. The position is available to applicants possessing approximately 0.5 to 2 years of experience which is perfect among freshers having some hands-on experience or junior professionals. Being a remote job, it offers flexibility and lets candidates have practical experience on machine learning models, data analysis, and real-life fintech applications in a start-up setting with rapid growth.
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Opening Details for Peakflo
| Peakflo Work from Home Jobs Details : | |
| Company | Peakflo work from home |
| Roles | Machine Learning Engineer Intern |
| Qualification | Bachelor’s or Master’s degree |
| Location | Remote |
| Work Experience | 0.5 – 2 years |
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Key Responsibilities:
- Create, develop and refine machine learning applications to the real world.
- Process big volumes of data to clean and preprocess as well as feature engineer it.
- Create partnerships with engineering and product teams to implement ML solutions.
- Help in creating prediction, classification and automation algorithms.
- Measure the performance of the model and enhance accuracy with various methods.
- Authority Clean, efficient, and scalable ML pipeline code.
- Research the current trends in ML/AI and apply best practices.
- Assistance to deploy ML models into production.
- Test, debug and maintain machine learning systems.
- Record working processes, templates and future reference.
Skill Required
- A solid understanding of machine learning concepts and algorithms.
- Knowing Python and such libraries as Scikit-learn, NumPy, and Pandas.
- Deep learning models like TensorFlow or PyTorch should be familiar to you.
- Knowledge of data preparation, design features and test model preparation.
- Knowledge of SQL and experience in working with big data.
- Having the knowledge of the basics of statistics and probability.
- Understanding of REST APIs and model deployment basics.
- Skilled in critical thinking and problem solving.
- Ability to operate in remote setting by self.
- Elastic in writing and communicating.
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Apply Now for the Machine Learning Engineer Intern Role at Peakflo
| Click the link below to apply for the Machine Learning Engineer Intern role at Peakflo | |||||
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About Peakflo company :
Peakflo is a rapidly developing fintech company established in 2020–2021, which aims to automate financial processes of companies through AI-based workflows. The company has a presence all over the world with its headquarters located in Singapore and offers solutions to accounts receivable, accounts payable, expense management and payment automation. Its platform assists businesses to automate operations such as collection of invoices, paying vendors and financial reporting and decreases manual labor and enhances efficiency in cash flow. With investors like Y Combinator, Peakflo supports startups and businesses throughout Southeast Asia and beyond, allowing finance teams to save time, cut costs, and make faster, data-driven decisions.
FAQ: Peakflo Work from Home Jobs
What qualifications are required to apply for the Machine Learning Engineer Intern role at Peakflo?
To apply at Peakflo, candidates should have a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Who is eligible to apply for the Machine Learning Engineer Intern role at Peakflo?
Peakflo is looking for candidates with around 0.5 to 2 years of experience, making it suitable for freshers with internship/project experience and early-career professionals.
Is the Machine Learning Engineer Intern role at Peakflo a remote opportunity?
Yes, Peakflo offers this role as a work-from-home opportunity, allowing candidates to work remotely with flexibility while gaining industry experience.
Disclaimer:
The Hiring Information Provided above is for Informational Purposes only . The above Hiring Information has been taken from the official site of the Organization. We do not provide any Hiring guarantee. Hiring is to be done as per the official Hiring process of the company. We don’t charge any fee for providing this job Information.
