RL Data Scientist/Engineer
Intracom Telecom
Peania, Αττική-Αθήνα, GR
πριν από 6 μέρες
source : Kariera

INTRACOM TELECOM is a global telecommunication systems and solutions vendor operating for over 40 years in the market. The company innovates in the wireless access and transmission field, offers a competitive telco software solutions portfolio and combines its offerings with a complete range of professional services.

Our mission is to shape future through technology and we recognize that human capital is the key factor to achieve this in today's business environment.

Our company's highly specialized and experienced personnel are pivotal to achieving demanding objectives and advancing the capabilities of the company to better serve its customers.

Within this framework, we are looking for an agile and highly-motivated RL Data Scientist / Engineer to join a team of future shapers.

As a member of the product's team, the successful candidate will work on the development of several mechanisms targeting at the performance-optimized, energy-efficient and cost-efficient operation of virtualized and cloud-native telco networks.

The candidate will work in a multi-disciplinary team of professionals from various domains (systems, telcos, AI / ML, devops), and will be exposed to an ecosystem of industry-leading vendors and technology providers from the the 5G, NFV, and AI domains.

Responsibilities

  • Work with the engineering team to develop, extend and optimize RL algorithms running in live telco networks, and targeting at their continuous and dynamic optimization (for performance, energy efficiency, density)
  • Tackle real-world challenges associated with using RL in production systems, like e.g. accelerating closed loop duration, minimizing trials, avoiding destructive actions, etc.
  • Requirements

  • BSc / BEng degree in computer science, mathematics, engineering, or related fields. MSc / PhD is considered a plus
  • Experience in RL and its libraries (RLlib, Keras-rl, TF-agents, garage, Pyqlearning, ChainerRL...)
  • Experience with deep learning and its frameworks (TensorFlow, Keras, Caffe, Theano...)
  • Knowledgeable in at least one of the following languages, Go, Python, C, C++
  • Desired Skills

  • Proven experience in using RL in production systems
  • Experience using a variety of RL algorithms : actor-critic, policy gradient, DQN, Q-learning, model-based and model-free Monte Carlo, dynamic programming.
  • Strong statistical background
  • Experience with machine learning lifecycle management tools (e.g. mlflow, kubeflow)
  • Software engineering skills, with a focus on microservice-oriented software architecture and API design
  • Experience with continuous deployment of models with build pipeline
  • Experience with cloud-native technologies (e.g. Docker, Kubernetes)
  • Familiar with telco networks and 4G / 5G architectural concepts (e.g. Mobile Core, RAN)
  • Candidate Profile

  • Strong analytical and problem solving skills, able to work in ambiguity
  • Ability to work effectively both independently and within a team
  • Strong initiative and always passionate about learning new technologies
  • Excellent communication skills, able to accurately present the team's activities in various events, summits and meetups
  • Strong analytical and problem solving skills, able to work in ambiguity
  • Ability to work effectively both independently and within a team
  • Strong initiative and always passionate about learning new technologies
  • Excellent communication skills, able to accurately present the team's activities in various events, summits and meetups
  • Benefits

    INTRACOM TELECOM provides an excellent working environment which encourages team spirit, cooperation and continuous learning, in which the career prospects depend on each employee's performance.

    Remuneration is competitive and aligned with the company's credo "our competitive advantage is our human capital".

    Education and continuous personal improvement constitute major priorities for the company to keep abreast with the technology evolution and maintain the high growth rate and its strategic position.

    Αναφορά αυτής της εργασίας
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Εφαρμογή
    Το e-mail μου
    Πατώντας στο κουμπί «Συνέχεια », δίνω στο neuvoo τη συγκατάθεση μου να καταχωρήσει τα δεδομένα μου και να μου στέλνει ειδοποιήσεις μέσω email, όπως αναφέρεται λεπτομερώς στην πολιτική προστασίας προσωπικών δεδομένων του neuvoo. Μπορείτε ανά πάσα στιγμή να αποσύρετε τη συγκατάθεση σας ή να διαγραφθείτε οποιαδήποτε στιγμή.
    Συνέχεια
    Φόρμα αίτησης