פורסם לפני יותר מחודש
פורסמה ברשת
Required Director of Engineering Central Machine Learning
ID: 30250
Responsibilities:
Technical Strategy: Developing an engineering strategy within a Machine Learning team involves making decisions about algorithms, technologies, tools, and platforms. You will define and execute this strategy to ensure the team's work aligns with the company's vision. Especially important in this context is the alignment with Tech leadership members across crafts and Business units.
Strategic Planning: providing technical leadership and expertise, setting the strategic direction, technical goals and ensuring alignment with the organizations and the companys objectives. You will play a vital role in long-term planning, including technology roadmaps, budgeting, and resource forecasting. This ensures that the team is well-equipped to tackle future challenges and opportunities.
Cross-Functional Collaboration: our work involves collaboration with various business units. You will bridge the gap between technical and non-technical teams, ensuring smooth communication and alignment.
Team Management: You will oversee the recruitment, onboarding, and development of team members, fostering a strong and cohesive team culture. In particular, you will provide technical mentorship, helping team members enhance their skills and grow in their careers.
Innovation: Staying up-to-date with the latest advancements in machine learning and related technologies is essential.

דרישות:
Ideal Experience & Skills:
Significant Tech Leadership experience with deep technical experience at driving frameworks and Machine Learning services
Thought Leader in reliability engineering, operational excellence and quality engineering with strong understanding of distributed systems and SOA
Solid understanding of emerging technology trends that enable a world class developer experience and familiarity with the current best in class big data technologies such as data processing pipelines, machine learning platforms for training, building, testing and deploying ML models
Deep understanding of technology, with a proven track record of designing and building data and machine learning platform at scale
Proven experience in building, shaping and leading a cross functional Engineering function or business unit at scale and leading a team of top talent in an engineering organization consisting of Frameworks, Middleware, Critical Services, Data Platform, Systems Engineering
Experience with managing and coaching teams of senior tech leaders including building and growing teams while providing technical direction to the teams (driving tech strategy, making build v buy decisions, prioritizing etc.)
Familiarity with at least one public cloud technologies and best ways to use them for processing data and ML at scale
Proven track record to contribute to system design, architecture, and problem solving conversations. Ability to get deep into technical details when needed
Great collaboration on technology topics; the successful candidate should be able to work with their counterparts in other organisations, including Senior Architects and Fellows
Demonstrable experience of working in Agile environments and more importantly an Agile culture and ethos
Well versed in Engineering Craftsmanship and experience with 3rd party vendor relationships and integrations would be an advantage
Excellent communication skills and strong commercial acumen
OTHER PERSONAL CHARACTERISTICS
Character traits: open mind, learning attitude, transparent behavior, positive, overachiever, strong communicator, proactive and collaborative
Strategic thinker yet focused on execution; able to roll up sleeves to get things done
Able to function in a fast-moving entrepreneurial environment
Data driven, experimental, ready to learn and open to change
Keep the customer at the centre of everything you do
Good cultural and organizational sensitivity
Committed to building a diverse, inclusive work environment.#E המשרה מיועדת לנשים ולגברים כאחד.
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התאמה למשרה
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