Competera uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both: cutting-edge math ’under the hood’ and for deep expertise in the pricing domain. We are looking for an MLOps Engineer to lead the development and maintenance of the platform that supports the entire ML models lifecycle in production.
— Developing and maintaining the overall MLOps strategy for the company;
— Building upon our existing MLOps components to improve and optimize our machine learning pipeline;
— Automating model training, validation, and testing processes;
— Develop tools for models monitoring in production;
— Collaborating with cross-functional teams to optimize model performance and address any issues that arise;
— Mentoring and guiding the ML team and other departments in the company on best practices for MLOps.
— Strong experience in MLOps, including knowledge of cloud-based infrastructure and tools such as Vertex AI/AWS Sagemaker/Azure ML, Kubernetes, and Docker;
— Experience with Python and related ML libraries (e.g. TensorFlow, PyTorch);
— Familiarity with containerization and orchestration technologies;
— Strong knowledge of model deployment, monitoring, and management practices;
— Experience working with existing MLOps components and the ability to optimize and improve them;
— Experience with software development practices such as version control, testing, and debugging;
— Experience with monitoring and logging tools.
— Experience with Vertex AI Pipelines or Kubeflow Pipelines;
— Experience in building CI/CD for ML pipelines;
— Experience with data pipeline management and data governance.
— Excellent communication and collaboration skills;
— Strong problem-solving skills and ability to work independently;
— Project management skills and ability to handle multiple tasks and priorities;
— Ability to adapt and learn new technologies quickly;
— Strong ability to work in a team-oriented, collaborative environment;
— Ability to mentor and guide other team members.
You’re gonna love it, and here’s why:
— Meaningful work in an agile team ever-open to the experiments;
— Fair payout with regular performance-based reviews;
— Remote-first ideology: freedom to operate from the home office or from any convenient co-working space;
— Working hours that adapt to your biorhythm and no time tracking systems on;
— Want to learn? Competera loves that and is eager to cover up to 100% of your training/courses fee;
— Paid vacation & sick leaves (20 business days each) + 15 days off;
— Partial medical insurance coverage.
Let’s price the world together!