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Company Description Seevo is a home furnishings brand built on over 26 years of experience in the bed and bath linen industry. Originating as a brick-and-mortar store called Dreams in Grant Road in 1994, the company has grown by combining craftsmanship, quality, and a strong family-led vision. Today, Seevo brings curated designs and personalized service to the online market, aiming to deliver the same level of care and character that defined its physical store. The company focuses on creating high-quality products that add comfort and style to customers homes, while embracing modern retail and technology to enhance the customer experience. Role Description The Machine Learning Engineer will work on-site in Mumbai in a full-time capacity, designing and implementing machine learning models to support Seevos online retail and operations. Day-to-day responsibilities include developing and optimizing algorithms for pattern recognition in customer behavior, inventory, and sales data, as well as building and maintaining neural network-based solutions for recommendations and personalization. The role involves collaborating with cross-functional teams to understand business requirements, preparing and cleaning data, evaluating model performance, and deploying models into production systems. The Machine Learning Engineer will also monitor model accuracy, iterate on solutions, and contribute to overall data-driven decision making within the organization. Qualifications Strong foundation in Computer Science and Algorithms, with experience in designing efficient, scalable solutions.Proficiency in Statistics and Pattern Recognition for analyzing data and building robust predictive models.Hands-on experience with Neural Networks and modern machine learning frameworks for developing and deploying models.Practical experience with programming languages such as Python or similar, and familiarity with data processing tools and libraries.Bachelors or masters degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.Ability to work collaboratively with product, design, and operations teams, and communicate complex technical concepts clearly.Experience with e-commerce, recommendation systems, or retail analytics is an advantage.Commitment to ethical, inclusive, and user-focused AI practices. .
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.