Senior ML Engineer

WE ARESoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts – including data scientists, research analysts, MLOps engineers, ML and LLM architects – we cover the full AI lifecycle, from problem framing to deployment.In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.We also lead Gen AI Lab – our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.In 2025, a key area of innovation is Agentic AI, where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.IF YOU AREEducated with a master's degree in Computer Science or a related fieldExperienced with 3+ years in building and deploying real-world machine learning solutionsProficient in Python and the core data science and machine learning ecosystemSkilled in developing, packaging, and integrating ML services into real applicationsInterested in autonomous AI systems, and familiar with decision-making algorithms, planning frameworks, or agentic tools like LangGraph, CrewAI, or similarConfident in designing and implementing robust ML pipelines using best practicesExperienced with cloud-based AI/ML services such as AWS, GCP, or AzureFamiliar with CI/CD/CT practices for machine learning systemsComfortable working with tools like MLflow, Langfuse, Langsmith, and Weights & Biases for evaluation and experiment trackingKnowledgeable in workflow orchestration tools such as Kubeflow, Airflow, or similarFluent in English at an upper-intermediate level or aboveAND YOU WANT TOWork on cutting-edge ML applications involving NLP, RAG systems, and multi-modal models (text and image)Design and implement end-to-end ML pipelines – from data pipelines and infrastructure setup to model optimizationBuild LLMOps pipelines to enable model observability, reproducibility, and prompt versioningDesign and develop agentic systems and orchestrate multi-agent workflowsCollaborate closely with clients to understand use cases, gather requirements, and translate them into production-ready ML solutionsPartner with Data Scientists and Engineers to support the full ML lifecycle – from experimentation to deploymentTake part in productionizing large language models (LLMs) and other advanced AI modelsEnhance and support the ML infrastructure, including CI/CD, cloud setup, data stores, monitoring, and securityWork as a consultant and tech expert using the latest ML tools on impactful projects with a flexible and supportive work environmentTOGETHER WE WILLBe part of a team that's shaping the future of AI and data science through innovation and shared growth.Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.Have access to world-class training, cutting-edge research, and collaborate with top industry partners.Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise