Hozzáadott 2 months ago

Junior Machine Learning Specialist

Munkavégzés helyeBUDAPEST, Budapest, Hungary PP Adecco

Foglalkoztatás jellegeStaff


KategóriaIT and Telecommunications

Junior Machine Learning Specialist

Your tasks:

  • Develop machine learning algorithms and deploy them into production
  • Experience with vision processing, deep neural networks, Gaussian processes, and reinforcement learning
  • Extensive understanding of statistics, math, programming and algorithm fundamentals
  • Strong analytical skills
  • Takes care of operationalization and maintenance of machine learning models
  • Tracks quality of machine learning models to decide if a retraining is needed
  • Experience in the application of parametric and non-parametric learning methods
  • Writing software test, unit tests as well as E2E-tests


Your profile:

  • Master's degree (PHD preferred) in Mathematics, Physics or Computer Sciences (or equivalent) with fundamental knowledge of Machine Learning Engineering, Data Engineering, (big data) analytics and AI technologies, processes and procedure models
  • 3+ years of experience in Machine Learning Engineering, Data Engineering, (Big Data) Analytics, cloud/software/application development and other related disciplines
  • Profound knowledge of ML and Data Engineering, MLOps, Data Management and programming languages such as Python or R including associated data, analytics and ML frameworks/libraries and analytics tools and technology (Microsoft Azure Cloud, Databricks, MLflow, DevOps etc.)
  • Highly motivated and open personality, outstanding ability to communicate, personal commitment, organizational skills, flexibility, creativity, teamwork
  • Experience working in agile teams, comfortable working with geographically distributed teams.
  • Excellent verbal and written English language skills


We offer:

  • Stable company background and long-term working possibility
  • Full of challenges and high-level professional activities at an international company
  • Participation in international projects and commission to foreign countries
  • Career opportunities, continuous training program and language courses
  • Competitive salary and performance-related bonus
  • Cafeteria with optional elements
  • Home office work
  • School start support


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