Senior MLOps Engineer (Ukraine)
Capgemini Engineering

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your Client
Our client is global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
We’re a Product & Engineering team that’s focussed on optimizing the impact that advertising has for audiences and the brands that we work with. We do this by optimising media buying, and employing dynamic creative, to deliver impactful and relevant messages. Getting these to the right audience, on the right medium, at moments and locations that matter, via channels and for a budget that is optimal for the brands we work with, is where we live.
Our culture is based on mutual trust, sharing, building, and learning together. We value simplicity, maintainability, automation, and metrics.
This role will work with our Platform Engineering team to support Software Engineers and Data Scientists building our Creative Analytics, Creative Optimization, and Media Optimization products.
Your Role
Our team consists of 100+ engineers, designers, data scientists, implementation, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with our customers, to develop and scale our leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.
Our platforms are built with Python, React, and Clojure, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake, BigQuery, and more. We serve 9 petabytes and 77 billion objects annually, optimize thousands of campaigns to maximise ROI, and deliver 20 billion ad impressions across the globe. You’ll play a leading role in significantly scaling this further.
As our first Machine Learning Operations (MLOps) Engineer, you will play a pivotal role in bridging the gap between platform engineering, data science, and software engineering, building systems that drive the deployment, monitoring, and scalability of machine learning models. You will design and implement pipelines, automate workflows, and optimise model performance in training and production environments. You’ll lead the creation of process, implementation of tools, and creation of solutions mature how we integrate machine learning solutions into our production systems, while maintaining reliability, security, and efficiency. You’ll additionally play a leading role in driving continuous improvement in model lifecycle management, from development to deployment and monitoring.
Responsibilities
Model Deployment and Operations:
Technical Skills
After internal screening, there will be 3 rounds of client interviews: 30 min screening first and if passed - two rounds with team for 1 hour each.
What You Will Love About Working Here
Your Client
Our client is global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
We’re a Product & Engineering team that’s focussed on optimizing the impact that advertising has for audiences and the brands that we work with. We do this by optimising media buying, and employing dynamic creative, to deliver impactful and relevant messages. Getting these to the right audience, on the right medium, at moments and locations that matter, via channels and for a budget that is optimal for the brands we work with, is where we live.
Our culture is based on mutual trust, sharing, building, and learning together. We value simplicity, maintainability, automation, and metrics.
This role will work with our Platform Engineering team to support Software Engineers and Data Scientists building our Creative Analytics, Creative Optimization, and Media Optimization products.
Your Role
Our team consists of 100+ engineers, designers, data scientists, implementation, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with our customers, to develop and scale our leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.
Our platforms are built with Python, React, and Clojure, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake, BigQuery, and more. We serve 9 petabytes and 77 billion objects annually, optimize thousands of campaigns to maximise ROI, and deliver 20 billion ad impressions across the globe. You’ll play a leading role in significantly scaling this further.
As our first Machine Learning Operations (MLOps) Engineer, you will play a pivotal role in bridging the gap between platform engineering, data science, and software engineering, building systems that drive the deployment, monitoring, and scalability of machine learning models. You will design and implement pipelines, automate workflows, and optimise model performance in training and production environments. You’ll lead the creation of process, implementation of tools, and creation of solutions mature how we integrate machine learning solutions into our production systems, while maintaining reliability, security, and efficiency. You’ll additionally play a leading role in driving continuous improvement in model lifecycle management, from development to deployment and monitoring.
Responsibilities
Model Deployment and Operations:
- Deploy, monitor, and maintain machine learning models in production environments.
- Automate model training, retraining, versioning, and governance processes.
- Monitor model performance, detect drift, and ensure scalability and reliability of ML workflows
- Design and implement scalable MLOps pipelines for data ingestion, transformation, and model deployment.
- Build infrastructure-as-code solutions using tools like Terraform to manage cloud environments (AWS, GCP)
- Work closely with data scientists to operationalize machine learning models.
- Collaborate with software engineers to integrate ML systems into broader platforms
- Utilize cloud services from AWS, GCP, and Snowflake for scalable data storage and processing.
- Implement CI/CD pipelines and automations to streamline ML model deployment.
- Use containerization tools like Docker and orchestration platforms like Kubernetes for scalable deployments
- Use Observability platforms to monitor pipeline and operational health of model production, delivery and execution
Technical Skills
- Proficiency in Python for ML development; familiarity with additional languages like Clojure is a plus.
- Expertise in cloud platforms (AWS, GCP) and data warehouses like Snowflake or BigQuery.
- Strong knowledge of MLOps frameworks (e.g., Kubeflow, MLflow) and DevOps tools (e.g., Jenkins, GitLab, Flux)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Experience with infrastructure-as-code tools like Terraform
- Solid understanding of machine learning principles, including model evaluation, explainability, and retraining workflows.
- Hands-on experience with ML frameworks such as TensorFlow or PyTorch
- Proficiency in SQL/NoSQL databases and distributed computing systems like Dataprov, EMR, Spark, Hadoop
- Strong communication skills to collaborate across multidisciplinary teams.
- Problem-solving mindset with the ability to work in agile environments
- At least 5+ years in platform, software, or MLOps engineering roles
- Proven track record of deploying scalable ML solutions in production environments
After internal screening, there will be 3 rounds of client interviews: 30 min screening first and if passed - two rounds with team for 1 hour each.
What You Will Love About Working Here
- We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
- The gift from the company - Christmas holidays from 25 December to 31 December.
- Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.
Як відгукнутися?
Щоб відгукнутися на цю вакансію, вам необхідно авторизуватися на нашому сайті. Якщо у вас ще немає облікового запису, будь ласка, зареєструйтесь.
Розмістити резюмеСхожі вакансії
Електромонтажник
Антарекс, ПП,
Київ,
9 хвилин тому
Наша компанія є лідером ринку в сфері проектних та електромонтажних робіт з більш ніж 20-річним досвідом будівництва торгово-розважальних центрів, гіпермаркетів, складських комплексів, перевантажувальних терміналів, елеваторів. Наші постійні партнери — ТОВ «Епіцентр-К», ТРЦ «Блокбастер», ТРЦ «Екватор»), ТОВ СП «Нібулон», ЗОО «Райз», «Кернел Груп». Ми супроводжуємо об'єкт будівництва від стадії проєктування до пусконалагоджувальних робіт. Для своєчасного та якісного виконання робіт ми шукаємо...

Помічник кухаря (Оболонський р-н)
Сільпо,
Київ,
41 хвилину тому
У нашій великій родині завжди раді тим, хто пильнує за порядком та обожнює бути в енергійній команді! Може, ви ще вмієте підготовляти продукти для створення смачнючих страв? Ми в захваті :) Приєднуйтесь до команди «Сільпо» та: Розраховуйте на нас. Стабільна зарплата та офіційне працевлаштування. Будьте здорові. Страхування життя. Зберігайте баланс. Можливий індивідуальний графік роботи з урахуванням бізнес-процесів та власних побажань....

Юрист
Екологічні переробні технології,
Київ,
35 000 ₴
8 годин тому
"Екологічні переробні технології" - це компанія, що спеціалізується на управлінні відходами. Компанія шукає кваліфікованих юристів до нашої команди в місті Київ. Обов’язки: - Проведення правового аналізу угод, документів та інших матеріалів; - Підготовка правових висновків та консультацій; - Участь у веденні переговорів та укладенні угод; - Забезпечення виконання законодавства в сфері екології та відходів. Вимоги: - Вища юридична освіта; -...
