Summary
✨ AI‑Generated
Work as a senior machine learning engineer within a large AI and data science organization covering the full AI lifecycle. The role offers exposure to machine learning, MLOps, generative AI, LLM architecture, research, and cloud technologies while contributing to diverse AI initiatives.
Highlights
Join a large AI and data science center with extensive expertise across the AI lifecycle, substantial experience delivering generative AI projects, and collaborations with major cloud and technology ecosystems.
Description
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 170+ experts including data scientists, research analysts, MLOps engineers, ML and LLM architects, we cover the full AI lifecycle, from problem framing to deployment.
In the last 3 years, we delivered 500+ AI projects, including over 300 focused on Generative AI, combining scale with measurable impact.
We are a 2025 NVIDIA Service Delivery Partner, 2025 Cisco AI Trailblazer, 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 2026, a key area of innovation is productionalization of 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 to generate business value
IF YOU ARE
Educated with a Master’s degree in Computer Science, or a related fieldExperienced with 3+ years building and deploying real-world machine learning solutionsAn expert with hands-on production experience on DatabricksProficient in Python and the core data science and machine learning ecosystemSkilled in developing, packaging, and integrating ML services into real applicationsConfident in designing and implementing robust ML pipelines using best practicesInterested in autonomous AI systems, and familiar with decision-making algorithms, planning frameworks, or agentic tools like LangGraph, CrewAI, or similarAccustomed to cloud-based AI/ML services on AWS, Azure, or GCPFamiliar 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 Databricks Jobs/Workflows, Kubeflow, Airflow, or similarCommunicating in English at an upper-intermediate level or above
AND YOU WANT TO
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 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 environment
TOGETHER WE WILL
Be part of a team that's shaping the future of AI and data science through innovation and shared growthAdvance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business valueHave access to world-class training, cutting-edge research, and collaborate with top industry partnersMaintain 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
SoftServe is an equal opportunity employer.
Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.