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Job Summary


Job Type
Permanent

Seniority
Director

Years of Experience
At least 5 years

Tech Stacks
Apache
Azure
Airflow
kafka

Job Description


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 We are seeking an individual who will lead our R&D department to bring to the next level performance of Acronis Cyber Platform protection engine with the use of machine learning. Applicants should have strong leadership & management skills with records and experience in rapid building and scaling efficient R&D teams. Hands on experience and knowledge in modern ML techniques and data management infrastructure are essential.

Responsibilities

  • Develop efficient scalable pipelines for systematic data collection and storage, classifiers training, and continuous delivery
  • Develop and deliver on ML roadmap established with Product and peers in R&D
  • Define and systematically measure KPIs: classifiers performance, model size, data set update cadence
  • Build and coach a team of highly talented software architects and developers
  • Adopt existing engineering processes & tools, including planning, gap analysis, design, delivery, and quality control
  • Manage machine learning R&D projects at all stages from research to production
  • Attend management escalations, develop and deliver on remediation plans
  • Maintain an extensive network of personal and delivery partner contacts in the technical community for teaming
  • Be a single point of source of information about product project work, consult peers on technology matters involving automation domain
  • Keep stakeholders at all levels current on progress against roadmap delivery
Skills & Experience

  • MS or PhD in CS or related field
  • Broad knowledge in ML algorithms, math, statistics
  • 5+ years’ experience leading ML R&D programs, with a track record of delivering commercial software / services
  • Knowledge of software architecture and product development
  • Solid experience in managing global teams and development of products and solutions to Agile/Scrum/PMI
  • Deep knowledge in ML operations
  • Experience building and transforming infrastructure for systematic data gathering (public sources, customers) and classifiers training
  • Knowledge of Apache stack (Kafka, Airflow, Beam) and cloud services (Google, Azure) involved in building ML pipelines.
  • Experience managing ML projects in cyber security is a plus
  • Excellent communication skills, including ability to communicate across all levels of the organization both technical and non-technical

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