Senior ML Engineer @ SoftServe

IF YOU ARE Educated with a master's degree in Computer Science or a related field Experienced with 3+ years in building and deploying real-world machine learning solutions Proficient in Python and the core data science and machine learning ecosystem Skilled in developing, packaging, and integrating ML services into real applications Interested in autonomous AI systems, and familiar with decision-making algorithms, planning frameworks, or agentic tools like LangGraph, CrewAI, or similar Confident in designing and implementing robust ML pipelines using best practices Experienced with cloud-based AI/ML services such as AWS, GCP, or Azure Familiar with CI/CD/CT practices for machine learning systems Comfortable working with tools like MLflow, Langfuse, Langsmith, and Weights & Biases for evaluation and experiment tracking Knowledgeable in workflow orchestration tools such as Kubeflow, Airflow, or similar Fluent in English at an upper-intermediate level or above WE ARE SoftServe 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. TOGETHER WE WILL Be 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 environments Communicate with the world-leading companies from our logos portfolio Enjoy the opportunity to work with the latest modern tools and technologies on various projects Participate in international events and get certifications in cutting-edge technologies Have access to powerful educational and mentorship programs Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe. ,[Work 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 optimization, Build LLMOps pipelines to enable model observability, reproducibility, and prompt versioning, Design and develop agentic systems and orchestrate multi-agent workflows, Collaborate closely with clients to understand use cases, gather requirements, and translate them into production-ready ML solutions, Partner with Data Scientists and Engineers to support the full ML lifecycle – from experimentation to deployment, Take part in productionizing large language models (LLMs) and other advanced AI models, Enhance and support the ML infrastructure, including CI/CD, cloud setup, data stores, monitoring, and security, Work as a consultant and tech expert using the latest ML tools on impactful projects with a flexible and supportive work environment, ] Requirements: Machine Learning, AI, GCP, Azure, CD, MLflow, Kubeflow, Airflow Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.