Machine Learning Engineer

Описание

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+ expertsincluding 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 ARE

A holder of a or master’s degree in Computer Science or a related fieldCompetent in Machine Learning/Deep Learning models and model lifecycle, software engineering, and DevOps/MLOps principlesAdept at Python and traditional Python DS/ML stackKnowledgeable of ML solutions design patternsAware of AI/ML and Data Engineering tools in any major cloud platform Proficient in setting up CI/CD/CT pipelines for MLHands-on in Kubeflow, MLflow, or similarFamiliar with containers and container orchestration platforms such as KubernetesStrong in designing, building feature stores, Hadoop ecosystem and Apache Spark, workflow orchestration platforms such as Airflow, message queues and streaming platformsProficient in business communication in English at an upper-intermediate level

AND YOU WANT TO

Communicate use cases, requirements, and expectations with stakeholdersGuide Engineering and Data Science teams on ML systems production lifecycleCollaborate with Data Science teams on model operationalization strategiesWork closely with Product teams to deliver and operate ML systemsImplement end-to-end production pipelines for ML solutionsSupport and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoringSet up scalable monitoring systems for data pipelines and ML models

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 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