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)
Location: Remote within Europe, with occasional travel to customer sites as needed. About Us: C-Serv is on the cutting edge of technology, harnessing the power of Big Data and Generative AI to deliver innovative solutions. We are a passionate team of engineers dedicated to transforming how data is utilized across industries. The opportunity: As a Senior Software Engineer specializing in Big Data and Generative AI, you will be at the forefront of designing and implementing large-scale data solutions. Your insights and creativity will help shape next-generation applications that leverage the latest advancements in AI technology. This role requires a combination of software development skills and a keen understanding of data structures and algorithms, ensuring robust and scalable systems. If you're excited about building impactful solutions and driving innovation in the data space, we want to hear from you! Requirements Job Responsibilities Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems Build and optimize scalable, real-time analytic systems powering AI Agents Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices Collaborate across teams to ensure solutions are resilient, secure, and high-performing Requirements Degree in Computer Science, Mathematics, or a related field 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations) 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming) Experience with sensitive or streaming data pipelines, including governance and compliance requirements Experience with Graph technologies (e.g., GNNs) Preferred Qualifications MS in Computer Science, Machine Learning, or a related discipline Experience with Graph ML and Graph technologies (e.g., GNNs) Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production
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)
Location: Remote within Europe, with occasional travel to customer sites as needed. About Us: C-Serv is on the cutting edge of technology, harnessing the power of Big Data and Generative AI to deliver innovative solutions. We are a passionate team of engineers dedicated to transforming how data is utilized across industries. The opportunity: As a Senior Software Engineer specializing in Big Data and Generative AI, you will be at the forefront of designing and implementing large-scale data solutions. Your insights and creativity will help shape next-generation applications that leverage the latest advancements in AI technology. This role requires a combination of software development skills and a keen understanding of data structures and algorithms, ensuring robust and scalable systems. If you're excited about building impactful solutions and driving innovation in the data space, we want to hear from you! Requirements Job Responsibilities Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems Build and optimize scalable, real-time analytic systems powering AI Agents Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices Collaborate across teams to ensure solutions are resilient, secure, and high-performing Requirements Degree in Computer Science, Mathematics, or a related field 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations) 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming) Experience with sensitive or streaming data pipelines, including governance and compliance requirements Experience with Graph technologies (e.g., GNNs) Preferred Qualifications MS in Computer Science, Machine Learning, or a related discipline Experience with Graph ML and Graph technologies (e.g., GNNs) Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production
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)
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)
Location: Remote within Europe, with occasional travel to customer sites as needed. About Us: C-Serv is on the cutting edge of technology, harnessing the power of Big Data and Generative AI to deliver innovative solutions. We are a passionate team of engineers dedicated to transforming how data is utilized across industries. The opportunity: As a Senior Software Engineer specializing in Big Data and Generative AI, you will be at the forefront of designing and implementing large-scale data solutions. Your insights and creativity will help shape next-generation applications that leverage the latest advancements in AI technology. This role requires a combination of software development skills and a keen understanding of data structures and algorithms, ensuring robust and scalable systems. If you're excited about building impactful solutions and driving innovation in the data space, we want to hear from you! Requirements Job Responsibilities Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems Build and optimize scalable, real-time analytic systems powering AI Agents Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices Collaborate across teams to ensure solutions are resilient, secure, and high-performing Requirements Degree in Computer Science, Mathematics, or a related field 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations) 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming) Experience with sensitive or streaming data pipelines, including governance and compliance requirements Experience with Graph technologies (e.g., GNNs) Preferred Qualifications MS in Computer Science, Machine Learning, or a related discipline Experience with Graph ML and Graph technologies (e.g., GNNs) Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production
Location: Remote within Europe, with occasional travel to customer sites as needed. About Us: C-Serv is on the cutting edge of technology, harnessing the power of Big Data and Generative AI to deliver innovative solutions. We are a passionate team of engineers dedicated to transforming how data is utilized across industries. The opportunity: As a Senior Software Engineer specializing in Big Data and Generative AI, you will be at the forefront of designing and implementing large-scale data solutions. Your insights and creativity will help shape next-generation applications that leverage the latest advancements in AI technology. This role requires a combination of software development skills and a keen understanding of data structures and algorithms, ensuring robust and scalable systems. If you're excited about building impactful solutions and driving innovation in the data space, we want to hear from you! Requirements Job Responsibilities Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems Build and optimize scalable, real-time analytic systems powering AI Agents Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices Collaborate across teams to ensure solutions are resilient, secure, and high-performing Requirements Degree in Computer Science, Mathematics, or a related field 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations) 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming) Experience with sensitive or streaming data pipelines, including governance and compliance requirements Experience with Graph technologies (e.g., GNNs) Preferred Qualifications MS in Computer Science, Machine Learning, or a related discipline Experience with Graph ML and Graph technologies (e.g., GNNs) Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production