Machine Learning Engineer

Sundayyworld — Netherlands · Posted ~6 hours ago

Senior Full-time

Skills

Machine learning Data science Python Model development Model evaluation AI

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Summary ✨ AI‑Generated

Join a dynamic data science team as a Machine Learning Engineer and lead initiatives that turn advanced analytics and machine learning into practical solutions. The role offers exposure to diverse business challenges, collaboration with multidisciplinary experts, and the opportunity to influence innovative data-driven transformation programs.

Highlights

Opportunity to lead internal machine learning initiatives within a global, digitally oriented consulting environment and work on diverse transformation challenges.

Description

About The Company Sia is a next-generation, global management consulting group founded in 1999. As a digitally-born organization, we integrate strategy and management capabilities with advanced data science, creativity, and a strong sense of responsibility. Our mission is to help clients initiate, navigate, and benefit from transformation in an ever-evolving business landscape. With a diverse team of over 3,000 consultants operating across 48 locations in 19 countries, we deliver impactful results that drive change and foster innovation. Our expertise spans multiple sectors and services, enabling us to provide tailored solutions that meet the unique needs of each client. At Sia, we believe in the power of optimism and transformation, continuously striving to create positive outcomes for our clients and stakeholders. About The Role We are seeking a highly skilled Machine Learning Engineer to join our dynamic Data Science team. In this role, you will lead internal initiatives to develop cutting-edge AI products and collaborate with multidisciplinary teams on client projects. Your responsibilities will include making architectural and design decisions for cloud environments, building production-level machine learning and AI solutions with robust software engineering practices, and guiding data scientists in scaling models into production. You will play a key role in organizing internal training sessions, leading meetings, and representing your expertise through blogs, conference presentations, and press releases. This position offers an exciting opportunity to work in a fast-paced environment where innovation and leadership are highly valued, and where your contributions will directly impact our clients' digital transformation journeys. Qualifications MSc degree in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems, or a related field2-4 years of experience in developing production-quality machine learning and deep learning pipelines and modelsStrong understanding of machine learning fundamentals with expertise in domains such as computer vision, deep learning, or natural language processingProficiency in Python and at least one of the following languages: Scala, C++, JavaHands-on experience with database management languages like SQL and PostgreSQLExperience working with cloud platforms such as AWS, GCP, or AzureFamiliarity with Unix-based command line tools and DevOps practices including Git, Docker, and KubernetesKnowledge of big data technologies such as Spark, Hadoop, or DatabricksExperience in coaching or mentoring engineering teamsPrior experience in management consulting is a strong advantageWillingness to travel and work with local and international clientsFluency in spoken and written English; proficiency or strong willingness to develop proficiency in Dutch Responsibilities Lead and mentor internal teams in the development of AI products and solutionsCollaborate with multidisciplinary teams on client projects as an AI expertDesign and make architectural decisions for cloud-based AI solutionsDevelop and deploy scalable machine learning and deep learning models with solid software engineering practicesGuide data scientists in scaling models into production environments, including optimization and testingOrganize and deliver training sessions, lead internal meetings, and facilitate knowledge sharingRepresent your expertise through blog articles, conference presentations, and press releasesParticipate actively in team workshops and client meetings to ensure project successStay updated with the latest advancements in AI and machine learning technologies Benefits Competitive salary package with performance-related bonusesMobility budget for flexible transportation optionsComprehensive hospital insurance coverageOpportunities for professional development through training and mentorship programsInternational work environment fostering diversity and inclusionSupportive and innovative workplace culture encouraging entrepreneurship and initiativeWork-life balance initiatives promoting employee well-being Equal Opportunity Sia is committed to creating an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, or any other protected characteristic. We believe diversity drives innovation and are dedicated to fostering a workplace that reflects the varied backgrounds and perspectives of our global community.