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About us: Arrise Solutions (India) Pvt. Ltd. is a leading content provider to the iGaming and Betting Industry, offering a multi-product portfolio that is innovative, regulated and mobile-focused. Arrise Solutions (India) Pvt. Ltd. strives to create the most engaging and evocative experience for customers globally across a range of products, including slots, live casino, sports betting, virtual sports and bingo. We are seeking a talented and experienced Senior ML Engineer that will work in a global team of Data Scientists delivering their methods into production in the most efficient way possible. You will also implement monitoring and alert systems. The ideal candidate should have in-depth knowledge and experience of model management and experiment tracking frameworks (MLFlow, .), data storage and versioning (DVC, LakeFs, .), Python, Pytorch, Azure Machine Learning, Jenkins, Grafana, Gitlab CI and Docker. Work Location- Hyderabad/Noida/Remote Key Responsibilities Design, develop and maintain ML pipelines, ensuring high reliability and scalability.Implement scalable machine learning infrastructure, to deploy advanced algorithms based on image, text, audio and tabular data.Optimize trained AI models (latency, memory, throughput, .)Develop CI/CD pipelines and containerize production applicationsAutomate existing workflows withing Data Science teamMonitor and troubleshoot production ML systems to ensure smooth operation using alert systems.Collaborate with cross-functional teams across data and engineering to come up with solutions to complex problem statements. Lead research initiatives to explore new methodologies, tools, and technologies, and contribute to the development of best ML OPs practices within the company. Required Skills And Qualifications Required experience of 5-9 Years.Bachelor's or master's degree in computer science, Engineering, or a related field.Strong proficiency in Python, with extensive experience in PyTorch or TensorFlow.Extensive knowledge of key machine learning metrics and optimization techniques.Strong knowledge of version control systems (Git, data versioning, .).Experience in model management and experiment tracking frameworksStrong knowledge and practical understanding of different ML Ops techniques.Prior experience in handling very large datasets across different business functions.Practical experience of deploying and monitoring scalable machine learning models in real-world applications.Prior experience in CI/CD pipelines, containerization, scheduling and automation.Prior experience in designing production ready and large-scale AI/ML systems end-to-end in a very fast-paced environment.Excellent problem-solving, analytical, and communication skills. Self-motivated individual who can work independently, and stay updated on updated with the latest advancements in AI, deep learning, generative AI and related system design areas. PREFERRED QUALIFICATIONS: Extensive experience with Azure ecosystem, in particular Azure Machine Learning.Experience developing computer vision, text, audio, and/or tabular data models.Strong proficiency in Gitlab CI, Jenkins, Grafana, Docker.Excellent software engineering skills in API design and development, and concurrency design skills. If you are a skilled Machine Learning Engineer who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization. What We Offer Competitive compensation depending on experienceOpportunities for professional and personal developmentOpportunities to progress within a dynamic team.Chance to work with close and collaborative colleaguesComprehensive health coverage OUR VALUES PERSISTENCE We never give up and are determined to be the best at what we do.RESPECT We value and respect our clients, their players, and our team members; promoting professionalism, integrity and fairness without compromise.OWNERSHIP We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality. .
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.