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Position Summary Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems. Duties & Responsibilities Assist in developing and training machine learning models Support the creation and maintenance of data pipelines Help deploy ML models into production under guidance Clean, preprocess, and analyze datasets for model training Collaborate with team members to solve business problems using data Monitor model performance and help troubleshoot issues Document code, processes, and model behavior Required Skills & Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) Basic proficiency in Python Familiarity with machine learning concepts (regression, classification, clustering) Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) Understanding of data structures and algorithms fundamentals Basic knowledge of SQL and data handling Preferred Qualifications Internship, academic project, or personal project experience in machine learning Familiarity with Git and version control Exposure to cloud platforms (AWS, Azure, or Google Cloud) Basic understanding of APIs or web services Experience with data visualization tools (e.g., Matplotlib, Seaborn) Strong willingness to learn and grow Problem-solving mindset Good communication and teamwork skills Attention to detail
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.