MLOps Engineer Data Scientist Full Remote with English
MLOps Engineer Data Scientist Full Remote with English
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Job Description
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 clients 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 missiondriven team across various time zones. Every quarter we gather in Barcelona for inperson workshops giving you a chance to connect with the team facetoface. Its an ideal opportunity if youre based outside!
Push the boundaries of data science and MLOps transforming data insights into productionready solutions for a global impact!
Tasks
- Conduct indepth data analysis developing insights and models that drive adtech 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 largescale ML challenges including distributed training and highload environments
- Collaborate with crossfunctional teams to translate business needs into datadriven 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
- Bachelors or Masters degree in Computer Science Statistics or a related field
- 3 years of experience in Data Science or MLOps with a solid understanding of adtech environments
- Proficiency in Python SQL and ML libraries (e.g. scikitlearn 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 crossfunctional teamwork
- Great plus! if you have: Knowledge of additional cloud platforms (GCP Azure) Docker Kubernetes or Snowflake familiarity with highload systems and vector databases certifications in machine learning or cloud computing
Employment Type
Full Time
