MLOps Engineer/ Data Scientist en 100% En remoto.
Are you driven by the challenges of data and excited about transforming machine learning models from prototype to production in dynamic environments?
Do you thrive on using data to create strategic insights and optimizing full ML pipelines?
We are looking for experienced Data Scientists and MLOps Engineers to join our client s team in Barcelona Warsaw or Virginia and collaborate with an innovative tech startup focused on accelerating growth for mobile app businesses worldwide.
This is a fully remote role! Enjoy the flexibility to work from anywhere while collaborating with a dynamic mission-driven team across various time zones. Every quarter we gather in Barcelona for in-person workshops giving you a chance to connect with the team face-to-face. It s an ideal opportunity if youre based outside!
Push the boundaries of data science and MLOps transforming data insights into production-ready solutions for a global impact!
Tasks
- Conduct in-depth data analysis developing insights and models that drive ad-tech performance and campaign analytics
- Develop and deploy scalable data science and MLOps solutions from model design to production enhancing performance ROI and ad targeting
- Design implement and manage MLOps and CI/CD pipelines on cloud platforms (primarily AWS)
- Provision and maintain AWS infrastructure for machine learning utilizing tools like Terraform and CloudFormation
- Oversee model lifecycle management and large-scale ML challenges including distributed training and high-load environments
- Collaborate with cross-functional teams to translate business needs into data-driven strategies ensuring model accuracy efficiency and scalability
- Monitor update and enhance existing machine learning models to stay responsive to market trends and security requirements
Requirements
- Bachelor s or Master s degree in Computer Science Statistics or a related field
- 3+ years of experience in Data Science or MLOps with a solid understanding of ad-tech environments
- Proficiency in Python SQL and ML libraries (e.g. sci-kit-learn PyTorch TensorFlow)
- Experience with AWS services including MLOps tools like SageMaker Kubeflow and MLFlow
- Strong knowledge of DevOps principles CI/CD cloud platform infrastructure and data security
- Excellent collaboration and communication skills for cross-functional teamwork
- Great plus! if you have Knowledge of additional cloud platforms (GCP Azure) Docker Kubernetes or Snowflake familiarity with high-load systems and vector databases certifications in machine learning or cloud computing
MLOps, CI/CD, AWS, Python