AI-Powered MLOps Team Lead for Top Mobile Ad-Tech Company
hace 3 semanas
Smadex Slu, a pioneering mobile ad-tech company in Barcelona, is seeking an experienced AI-Powered MLOps Team Lead to spearhead the deployment and monitoring of machine learning algorithms in production environments. As a leader in the industry, we're committed to staying at the forefront of advanced technologies used by top players like Google and Facebook.
We're looking for an exceptional individual with a strong background in MLOps practices, experience deploying and maintaining ML models, and excellent leadership skills to guide our team of engineers specializing in Python programming. This role requires a balance of technical expertise and leadership abilities to deliver reliable, scalable, and efficient solutions.
The ideal candidate will have a proven track record of deploying and maintaining ML models in production and at least 2 years of experience in a leadership or team management role. Fluency in English is essential, along with proficiency in Python and familiarity with its ML and data processing libraries. Experience with cloud platforms (preferably AWS) and containerization technologies (Docker, Kubernetes) is highly desirable.
We offer a competitive salary range: $120,000 - $180,000 per year, depending on experience. Our comprehensive benefits package includes great compensation, a penthouse office with rooftop terrace, BBQ, and fully stocked fridge, flexible working hours, LinkedIn learning opportunities, meal vouchers, gym allowance, monthly events, and a fun work environment with talented marketers and engineers from over 21 countries.
Key Responsibilities:
- Lead, mentor, and manage a team of MLOps engineers and Python developers.
- Facilitate collaboration within the team and across other departments to ensure seamless integration of ML systems.
- Design, implement, and maintain end-to-end pipelines for ML model deployment, monitoring, and lifecycle management.
- Develop automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments.
- Implement robust monitoring and alerting systems for production ML models to ensure performance and reliability.
- Troubleshoot issues in real-time and ensure high availability of deployed systems.
- Collaborate with the machine learning team (ML) to manage model retraining and updating processes.
- Write, review, and maintain high-quality Python code for MLOps tooling and automation.
- Evaluate and integrate state-of-the-art tools and technologies in the MLOps space.
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