Data Scientist/MLOps Engineer
hace 2 semanas
We are seeking an experienced Data Scientist/MLOps Engineer to join our team at Babel Profiles S.L. in Barcelona, Warsaw, or Virginia.
This is a fully remote role, offering the flexibility to work from anywhere while collaborating with a dynamic, mission-driven team across various time zones.
About the RoleThis role involves transforming data insights into production-ready solutions for a global impact. Key responsibilities include:
- Conducting in-depth data analysis, developing insights and models that drive ad-tech performance and campaign analytics.
- Developing and deploying scalable data science and MLOps solutions from model design to production, enhancing performance, ROI, and ad targeting.
- Designing, implementing, and managing MLOps and CI/CD pipelines on cloud platforms (primarily AWS).
- Provisioning and maintaining AWS infrastructure for machine learning, utilizing tools like Terraform and CloudFormation.
- Overseeing model lifecycle management and large-scale ML challenges, including distributed training and high-load environments.
- Collaborating with cross-functional teams to translate business needs into data-driven strategies, ensuring model accuracy, efficiency, and scalability.
To be successful in this role, you will need:
- A 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.
The estimated annual salary for this position is $150,000-$200,000, depending on location and experience.
Benefits and PerksBabel Profiles S.L. offers a range of benefits and perks, including:
- Fully remote work arrangement.
- Quarterly in-person workshops in Barcelona.
- Ongoing professional development opportunities.
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