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Senior Artificial Intelligence Engineer
hace 8 meses
Machine Learning (ML) and Artificial Intelligence(AI) are revolutionizing the way of doing business at a global scale. sennder is a European digital freight forwarder with a data-centric problem-solving approach to build the next generation of supply chain and road logistics services. Do you want to help us to shape the future?
We are looking for a Senior Artificial Intelligence Engineer to join our central AI Planning Team - as part of sennAI department. The department’s mission is to achieve “Automated & Data-Driven Road Logistics”. We’re a large, diverse and 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. We want to attract, retain and grow world-class talent to form a incredible group that can provide you the most productive and growth-friendly time of your career.
sennAI's purpose is to build proprietary technology that can automate sales, brokerage and other business related activities. Such automation can enable a flywheel where data acquisition and revenues grow exponentially with one another. The scope of our teams is creating best-in-class predictive analytics services while approaching ML Engineering in an holistic, end-to-end fashion: from best practices in ML modelling until engineering excellence around our MLOps Platform that lifts the developer experience to a different realm.
Every day, we acquire 3M+ new real-time data points (augmenting by the day) about the road logistics industry in Europe. This data is used to build the future of logistics marketplaces where pricing optimization, load-to-carrier recommendation, load search and network optimization happen in an automated fashion.
Can you even imagine where we can go with your help? Let’s #keepOnTrucking... together
WHAT YOU WILL DO
- Define the new state-of-the-art for AI Planning challenges in the road logistics services;
- Develop optimization (e.g.: MIP, SAT, PBO) and/or reinforcement learning expertise beyond basic library usage, mentor and be mentored by other team members;
- Prototype and subsequently operationalize innovative, data-intensive, end-to-end artificial-intelligence-based decision engines to solve large-scale combinatorial optimization problems, following the latest best practices on AI/MLOps;
- Enforce the best principles in AI 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;
- Demonstrate your leadership skills and manage an Artificial Intelligence based project or product, which you will define through frequent cross-functional interactions with your peers as well with experienced logistics professionals and Technical Product Owners, among other stakeholders;
WHAT WE ARE LOOKING FOR
- A highly motivated individual with excellent communication and strong interpersonal skills;
- M.Sc or PhD in a quantitative field and/or working experience as Artificial Intelligence/Planning/Algorithm Engineer;
- Knowledge of constraint based local search and/or constraint programming incl. experience with Mathe matical Programming tools such as Gurobi, SCIP, CPLEX, LocalSolver, OR-Tools, or similar;
- Experience with working on discrete-event simulation modeling and Operations Research (OR) projects in a real-world setting (i.e. OR in production-grade systems);
- T-shaped mindset: actual expertise on a single area but the ownership/willingness to contribute to the product end to end in order to ensure a healthy value creation chain;
- Teamaholic. We don’t believe in super-heroes but rather in super-teams: teams that own products and are the single unit of work : )
- Proficiency in Python with ability to translate ideas into prototypes and prototypes into production; Fluent written and verbal communication in English;
**Bonus**:
- Solid Python and software engineering skills, including best practices like CI/CD and Git; Proven experience in contributing to artificial intelligence engineering teams in industry (2+ yrs.); Experience on AI/MLOps in modern cloud systems (preferrably, AWS);
- Experience with Agile philosophies (e.g.: Scrum, Scrumban, Kanban, XP) and project management tools (e.g.: ADO, JIRA);
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 deve
