Staff Machine Learning Engineer, Barcelona

Staff Machine Learning Engineer en Barcelona.
WHAT YOU WILL DO ...
As a Staff Machine Learning Engineer in our central Machine Learning Engineering teams within sennAI department you will help us in achieving Automated Data-Driven Road Logistics . You will closely work with our multidisciplinary group of ML AI engineers data scientists backend/frontend engineers and technical product people that are passionate by the new AI-empowered digitalization wave that is changing our world. In this role you will..
- Define the new state-of-the-art for machine learning engineering in the road logistics services
- Apply data science concepts to solve problems like pricing optimization load-to-carrier recommendation load search and logistics network optimization among others
- Mentor junior to senior engineers enabling them towards successful impactful software deliveries
- Review technical roadmaps and deliveries across teams
- Design and develop health and performance monitoring tools (MLOps) of data pipelines and the machine learning services in production
- Lead design reviews with peers and stakeholders to decide amongst available technologies.
- Be hands-on when needed while review code developed by other developers and provide feedback to ensure best practices (e.g. style guidelines checking code in accuracy testability and efficiency).
- Lead the cross-team alignment effort on technical dependency finding and/or matching cross-domain architectural design and all-in-all Artificial Intelligence related topics
- Enforce the best principles in ML System Design by balancing the feedback loop on data exploitation and data acquisition follow the 80/20 ruling focus on the right metric in every design decision and once a shippable amount of value is created go live evaluate learn and iterate
WHAT WE ARE LOOKING FOR ...
- Highly motivated with excellent communication and strong interpersonal skills
- 4+ years of experience in deploying and maintaining in production data pipelines working at scale which are fueling and/or being fueled by machine learning models in production
- Above-average Python software engineering skills including best practices like CI/CD and Git
- 2+ years of experience with modern MLOps setups
- Teamaholic. We don t believe in super-heroes but rather in super-teams teams that own products and are the single unit of work )
- Large experience with Agile philosophies (e.g. Scrum Scrumban Kanban XP) and project management tools (e.g. JIRA)
- Consensus building mindset big picture focus and ability to disagree and commit in order to establish a bias to action by default
- Solid understanding of machine learning product lifecycle and the commonly associated components (MLOps) Experimental Environment (e.g. Jupyter Notebook MLflow) Workflow management (e.g. Air-flow) Feature Stores (e.g. Feast) DataOps/Pipelines (e.g. Kafka) Model Deployment (e.g. Terraform) Testing Serving (e.g. Docker Flask). and Monitoring (e.g. Datadog) Model Repository (e.g. DVC)
WHAT YOU CAN EXPECT
At sennder we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility we value commitment team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on
- Fast growth scale-up with an international team of 1000+ people 74+ nationalities spread across 11 European offices. With English as our common language we are able to work together.
- Learning and development on the job and with the support of a bi-annual review process learning allowance high potential programs sennder onboarding academy and internal trainings.
Machine Learning,Python, CI/CD, MLOps, Jupyter,
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Fecha de publicación: 20/07/2024