Senior Engineer (Gen AI, Machine Learning): at C-Serv

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)

·       Strong 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)