Senior Mlops Engineer @ - Poland, Polska - Softserve

Opis

WE ARE Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (Io T), Data Science, and Experience Design.

We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence , you will have a chance to contribute to a wide range of projects in different areas and technologies.

We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us TOGETHER WE WILL Operationalize our clients' AI solutions by leveraging best practices in Machine Learning and MLOps, Dev Ops, and Software engineering Maintain synergy of Data Scientists, Dev Ops team, and ML Engineers to build infrastructure, set up processes, and Machine Learning pipelines, and integrate them into existing business environments Participate in international events Get certifications in cutting-edge technologies Have the possibility to work with the latest modern tools and technologies on different projects Access strong educational and mentorship programs Communicate with the world-leading companies from our logos portfolio Work as a consultant on different projects with a flexible schedule Soft Serve 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 Soft Serve.

IF YOU ARE A holder of a Master's degree in Computer Science or a related field Having 3+ years of relevant experience Hands-on with Python and traditional Python DS/ML stack An expert in ML solutions design patterns and operationalization Skilled with AI/ML and Data Engineering tools in any major cloud platform: GCP, AWS, or Azure Familiar with setting up CI/CD/CT pipelines for ML Experienced with Kubeflow, MLflow, or similar Competent with containers and container orchestration platforms (Kubernetes) Strong in requirements gathering and estimation Experienced with designing and building feature stores Knowledgeable of the Hadoop ecosystem and Apache Spark Familiar with Workflow orchestration platforms such as Airflow Demonstrating Upper-Intermediate English level, or higher

WE ARE Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (Io T), Data Science, and Experience Design.

We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.

In a Data Science Center of Excellence , you will have a chance to contribute to a wide range of projects in different areas and technologies.

We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us TOGETHER WE WILL Operationalize our clients' AI solutions by leveraging best practices in Machine Learning and MLOps, Dev Ops, and Software engineering Maintain synergy of Data Scientists, Dev Ops team, and ML Engineers to build infrastructure, set up processes, and Machine Learning pipelines, and integrate them into existing business environments Participate in international events Get certifications in cutting-edge technologies Have the possibility to work with the latest modern tools and technologies on different projects Access strong educational and mentorship programs Communicate with the world-leading companies from our logos portfolio Work as a consultant on different projects with a flexible schedule Soft Serve 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 Soft Serve.

,[Design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models, Communicate use cases, requirements, and expectations with stakeholders, Guide Engineering and Data Science teams on ML systems production lifecycle, Data Science teams on model operationalization strategies, Deliver and operate ML systems cooperating with the product teams, Implement end-to-end production pipelines for ML solutions, Support and enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring, Set up scalable monitoring systems for data pipelines and ML models] Requirements: Machine learning, AWS, GCP, Azure, MLOps, Python Tools:

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.