Senior MLOps Deployment Specialist

hace 3 semanas

Barcelona, Barcelona, España Smadex Slu A tiempo completo
About Smadex Slu

Smadex Slu, a pioneering mobile ad-tech company founded in Barcelona, has been at the forefront of innovation since its inception in 2011. Following its acquisition by Entravision in 2018, it solidified its position as one of the leading mobile ad-tech companies worldwide, rivaling industry giants like Liftoff and Moloco.

The company's commitment to leveraging cutting-edge technologies such as Machine Learning, Data Science, and cloud-based big data architectures has driven its remarkable growth. With a strong focus on developing advanced technologies akin to those used by Google and Facebook, Smadex aims to become the world's largest mobile programmatic advertising platform.

Our mission is to continuously enhance our ad-tech platform, enabling clients to achieve their programmatic advertising campaign objectives. We strive to create an engaging work environment where employees can thrive, grow, and contribute meaningfully to the company's success.

A key aspect of our operations lies in the development of sophisticated algorithms that estimate the probability of user actions following ad exposure, similar to Google's approach. This intricate process requires precision, speed, and scale, with millions of calculations occurring within nearly real-time intervals.

About the Role

We are seeking an exceptional Senior MLOps Deployment Specialist/ Machine Learning Engineering Team Lead to oversee the deployment and monitoring of machine learning algorithms in production environments. The ideal candidate will possess a deep understanding of MLOps practices, extensive experience with deploying and maintaining ML models, and proven leadership skills.

This role demands a balance of hands-on technical expertise and leadership acumen to guide a team of engineers specializing in Python programming. The successful candidate will be responsible for:

  • Leading, mentoring, and managing a team of MLOps engineers and Python developers
  • Facilitating collaboration within the team and across other departments to ensure seamless integration of ML systems
  • Designing, implementing, and maintaining end-to-end pipelines for ML model deployment, monitoring, and lifecycle management
  • Developing automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments
  • Implementing robust monitoring and alerting systems for production ML models to ensure performance and reliability
  • Troubleshooting issues in real-time and ensuring high availability of deployed systems
  • Collaborating with the machine learning team (ML) to manage model retraining and updating processes
  • Writing, reviewing, and maintaining high-quality Python code for MLOps tooling and automation
  • Evaluating and integrating state-of-the-art tools and technologies in the MLOps space
Requirements

To succeed in this role, you should possess:

  • 5+ years of professional experience in MLOps, software engineering, or a related domain
  • Proven track record of deploying and maintaining ML models in production
  • At least 2 years of experience in a leadership or team management role
  • Fluency in English
  • Proficiency in Python and familiarity with its ML and data processing libraries (e.g., PyTorch, Pandas, NumPy)
  • Experience with cloud platforms (preferable AWS) and containerization technologies (Docker, Kubernetes)
  • Hands-on experience with ML workflow orchestration tools (e.g., Airflow, MLflow)
  • Strong understanding of CI/CD pipelines and DevOps practices
  • Excellent communication skills, both verbal and written
  • Ability to mentor other team members
  • Strong problem-solving and analytical skills
  • Ability to foster a collaborative team, inter-team, and company culture

Please note that a Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field is highly valued. Additionally, experience in AWS services such as EMR, EC2, Athena, S3, Linux environments, digital marketing platforms, and user acquisition are considered assets.

Compensation Package

As a Senior MLOps Deployment Specialist/Machine Learning Engineering Team Lead, you will receive a competitive compensation package that includes:

  • A salary range of €100,000 - €120,000 per year, commensurate with your experience and qualifications
  • Integrate a highly motivated and young team
  • Great compensation package
  • Top location at the heart of Barcelona in a penthouse office with rooftop terrace, barbeque, and fully stocked fridge
  • Good work-life balance: 2 days working from home, flexible hours
  • LinkedIn learning and training opportunities
  • Meal vouchers - Tickets Restaurant monthly allowance
  • Monthly gym allowance to use in up to the 30 DIR gyms around the city
  • Monthly TGIF events
  • Regular team-building events
  • Fun and friendly work environment with talented marketers and engineers from over 21 countries
  • Exposure to leading global app publishers (Zynga, King, Rovio, EA, etc.) and media partners in the digital advertising industry
  • And more
About Smadex Slu's Work Environment

Smadex Slu values a dynamic and inclusive work environment where creativity thrives. Our office is designed to promote collaboration, innovation, and well-being, providing ample opportunities for personal and professional growth.

Join us in shaping the future of mobile programmatic advertising and become part of a talented community driving innovation and excellence.

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