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Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. We're looking for a senior software engineer with strong ML and GenAI skills to deliver end-to-end machine learning solutions for our financial services clients. You'll own the full lifecycle — from data pipelines and model development through production deployment and monitoring — working autonomously in complex, regulated environments. This is your chance to make a real difference! YOUR CAPCO DAY Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments Train, calibrate, and validate ML models — supervised, unsupervised, and ensemble — including threshold analysis and production-grade explainability Develop GenAI-powered solutions such as agentic workflows, RAG systems, and LLM-based automation to accelerate knowledge-intensive client processes Deploy and monitor models in production with drift detection, performance tracking, and multi-environment release management (Dev → Staging → Prod) Work directly with client stakeholders — from compliance SMEs to engineering teams — delivering documentation, knowledge transfer, and long-term enablement YOUR CAPCO FIT Strong software engineering foundation: Python, Spark, CI/CD, containerized deployments (Kubernetes), and production-grade pipeline orchestration (Airflow or equivalent) Data Science depth: feature engineering at scale, statistical modeling, experiment design, model explainability (e.g. Shapley Values), and threshold calibration under business constraints Hands-on ML experience: tree-based methods, neural networks, ensemble design, hyperparameter optimization, cross-validation, and out-of-time testing Practical GenAI experience: LLM integration, prompt engineering, RAG architectures, and agentic workflows for automating knowledge-intensive processes Fluent German and strong client-facing communication skills, with the ability to produce audit-ready documentation for regulated environments Ready to take the Next Step If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.
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.