Lead Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Role
Were looking for a Lead ML Engineer with strong technical expertise and proven leadership skills. Beyond building robust scalable and maintainable systems youll be responsible for growing and mentoring a high-performing ML team leading cross-functional projects and managing stakeholders.
Youll set the technical direction ensure engineering excellence and create an environment where engineers can thrive. From recommendations and search to marketing optimization and process automation your work will shape the future of ML at Fever.
What youll do
- Drive the design implementation and delivery of scalable ML systems from data ingestion and model development to deployment and production performance.
- Oversee and ensure reliability of distributed event-driven systems handling 1000 requests per second.
- Define best practices in ML engineering ensuring clean architecture testability and long-term maintainability.
- Hire mentor and grow a team of ML engineers fostering a collaborative and high-performance culture.
- Collaborate closely with Data Engineering and Data Science teams to ensure strong data foundations seamless model integration and shared impact.
- Provide technical and strategic leadership in ML projects aligning priorities with business goals.
- Act as a bridge between engineering product and business stakeholders: translating requirements managing expectations and delivering impact.
- Collaborate with DICE Onebox and other Fever group teams to strengthen the Fever ecosystem.
What were looking for
- Strong software engineering and ML expertise with hands-on experience in Python productionizing models and building scalable systems (event-driven architectures microservices APIs and databases).
- Solid experience with cloud and container orchestration (AWS Docker Kubernetes) modern ML/engineering tooling (e.g. Airflow MLFlow) CI/CD and observability.
- Proven ability to set engineering best practices ensuring reliability performance and long-term maintainability of ML solutions.
- Experience leading engineering projects setting direction and coordinating stakeholders.
- Track record of hiring mentoring and growing engineering teams.
Bonus points for
- Experience with ML platforms (MLFlow MetaFlow DeepNote) and search/streaming technologies (ElasticSearch Kafka Flink Spark Streaming).
- Building and shipping recommender systems ranking services or marketplace ML solutions at scale.
- Hands-on experience with marketing APIs (Meta Google) or similar integrations.
- Side projects or open-source contributions in data-driven applications.
The environment
- Product-driven cloud-native (AWS) fast-moving team.
- We care about code quality performance testability and long-term maintainability.
- We hire builders: people who like to own systems end to end and enjoy working across the stack.
- Leadership is hands-on and collaborative setting the pace through initiative example and accountability.
Benefits & Perks
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options plan
- 40% discount on all Fever events and experiences
- Home office friendly location in Madrid or Barcelona required
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English / Spanish Lessons
- Wellhub Membership
- Possibility to receive in advance part of your salary by Payflow.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
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