Machine Learning Engineer

ppSia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. /p h3Job Description /h3 pAs an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global. /p pYour responsibilities include: /p ul liLeading an internal team towards the development of AI products; /li liWorking in a multidisciplinary team on client projects as an expert on your subject; /li liMaking architectural and design decisions for cloud environments; /li liBuilding production level ML/AI solutions with solid software engineering; /li liGuiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping); /li liGiving trainings, leading internal meetings and organizing external events; /li liParticipating in team meetings and workshops with clients; /li liWriting blog articles, presenting at conferences and sending out press releases on the subject that you lead. /li /ul h3Who you will work with /h3 pThe Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together. /p h3Who you are /h3 ul liYou are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities. /li liYou have first-rate project management and time management skills. /li liYou are a true problem solver, you turn complex issues into simple and impactful business solutions. /li liYou are enthusiastic for applying Data Science/Engineering solutions to business problems. /li liYou have excellent communication skills and can present complicated concepts in a synthetic way. /li liYou have the ability to adapt rapidly and work on a range of different business areas within a challenging environment. /li liYou have the ability to work collaboratively in a team environment. /li /ul h3In return, you can expect: /h3 ul liAn international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions. /li liA great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged /li liA personal development plan with a regular follow-up as well training opportunities to develop yourself /li liA competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,... /li /ul h3Qualifications /h3 ul liMSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. /li li2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. /li liGood understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP). /li liExpert coding skills in Python and at least one of these languages: Scala, C++, Java. /li liHands-on experience with database management languages (e.g., SQL, PostgreSQL). /li liHands-on experience in cloud-based infrastructures (AWS/GCP/Azure). /li liHands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes). /li liHands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks). /li liYou have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer. /li liExperience with coaching/mentoring other engineers. /li liPrior experience in Management Consulting is a strong plus. /li liWillingness to travel and work at local and international clients. /li liFluency in spoken and written English, French and Dutch is required. /li /ul h3Additional Information /h3 pUnfortunately, we are unable to provide a work permit for this posit