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Location Remote within Europe with occasional travel to customer sites as needed About Us C-Serv is dedicated to driving innovation in the fields of Generative AI and Machine Learning Our team consists of forward-thinking engineers dedicated to advancing how organizations leverage data to build intelligent applications We encourage a collaborative and inclusive work environment where every team member can contribute their unique talents and perspectives The opportunity As a Senior Engineer focused on Generative AI and Machine Learning you will play a pivotal role in developing cutting-edge solutions that harness the power of machine learning algorithms to transform data into actionable insights You will be responsible for designing implementing and optimizing sophisticated models and systems incorporating the latest advancements in AI technology If you are eager to collaborate with a talented team and drive innovation in the AI space we invite you to apply Requirements Key Responsibilities Serve as a thought leader and forward thinker driving innovative vision across products and platforms designing and launching strategic ML solutions and delivering business-wide innovation Lead the full software development lifecycle design testing deployment and operations guide technical discussions and strategy and actively participate in design reviews code reviews and implementation Develop high-performance production-ready ML code for next-generation real-time ML platforms and extend existing ML libraries and frameworks Collaborate closely with engineers and scientists to accelerate model development validation and experimentation cycles and integrate models and algorithms into production systems at scale Requirements Degree in Computer Science Mathematics or a related field 8 years of full SDLC experience design coding reviews testing deployment operations 5 years of experience building and deploying end-to-end ML solutions or platforms in production Hands-on experience developing Generative AI solutions RAG AI Agents LLM fine-tuning in production Experience with large-scale distributed systems on cloud platforms AWS Azure GCP Solid ability to solve complex ambiguous problems Preferred Qualifications MS PhD in Computer Science Machine Learning or a related discipline Experience with Graph ML and Graph technologies e g GNNs GraphRAG Experience with distributed Big Data technologies e g Spark Flink Kafka PySpark Lakehouse Druid Hudi Glue .
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.