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Role : Machine Learning Engineer - Computer Vision (Remote) Location : Remote (Work from Anywhere) Job Type : Full-Time Payout : Competitive, based on experience Role Overview: We are hiring for one of our clients in the AI research space, seeking a Python Machine Learning Engineer to drive the design, development, and delivery of advanced machine learning solutions. The role requires both strong individual contributions and technical leadership to set direction, mentor team members, and align ML initiatives with business goals. Key Responsibilities: • Own end-to-end machine learning solution development, from data pipelines and model design to deployment and monitoring. • Translate business objectives into robust ML architectures that accurately capture business logic and context. • Collaborate cross-functionally with product, engineering, and business stakeholders to define problem statements and success metrics. • Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. • Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes. Required Skills & Qualifications: • Bachelor’s or master’s degree in computer science, machine learning, AI, statistics, or a related quantitative field. • 4+ years of hands-on data science and machine learning development experience. • Proficiency in supervised and unsupervised learning, time-series forecasting, and natural language processing. • Expertise in Python and core libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras. • Strong understanding of data preprocessing, feature engineering, and model tuning. More About the Opportunity: This role offers a unique opportunity to work with a global leader in AI research, contributing to the development of proprietary intelligence systems that drive measurable business impact. The position involves applying cutting-edge research to real-world applications across diverse domains. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!
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.