Machine Learning Engineer Consultant
Intracom Telecom
Peania
πριν από 1 μέρα
source : Kariera.gr

Περιγραφή Θέσης

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 " Machine Learning Engineer Consultant " to join a team of future shapers.

What you will do :

  • Managing the infrastructure (lab demos) and data pipelines needed to bring code to production
  • Designing product solutions according to the needs of the customer
  • Experimenting with models and tools that will enhance the performance of the deployed solutions
  • Deploying (in demo level) the models and services offered while ensuring the scalability and robustness of the solutions
  • Designing and creating insightful dashboards for model monitoring
  • Understanding and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
  • Researching and implementing best practices to improve the existing machine learning infrastructure
  • Providing support to engineers and product managers in implementing machine learning in the product
  • Communicating and explaining complex processes to people who are not programming experts
  • Building and maintaining scalable machine learning code
  • Applying machine learning algorithms and libraries
  • Demonstrating end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
  • Requirements

    To qualify for the role you must have :

  • University degree in Computer Science and / or Software Engineering or other related discipline
  • MSc in Data Science or Machine Learning or Software Engineering
  • Strong programming experience Python and some of the following : Java / C / C++
  • Linux experience deep knowledge on Linux system administration
  • Familiar with frameworks such as Keras, TensorFlow, PyTorch, scikit-learn, Gensim, WEKA, OpenNLP, etc.
  • Good exposure to container technology (e.g. Docker), container orchestration systems (e.g Kubernetes), container-focused Linux distributions, and virtualization in the cloud
  • Excellent knowledge on DevOps tools Ansible, Helm, Jenkins, Gitlab, Grafana, Prometheus amongst others
  • Coordinate with different functional teams to design models and monitor implementation and outcomes
  • Experience in cloud-based Machine Learning tools, such as Microsoft Azure Machine Learning, AWS SageMaker, Google Cloud ML
  • Strong problem solving skills with an emphasis on research and product development.
  • Excellent written and verbal communication skills for coordinating across teams, excellent communication, presentation and negotiation skills
  • Considered as a plus :

  • Experience in Financial Services, Telecommunications, Energy, IoT
  • Familiarity with Cloudera Distribution (Cloudera Data Science Workbench)
  • Good knowledge of Relational Databases (e.g. PostgreSQL), NoSQL DBs / systems (e.g. Redis, ElasticSearch
  • Generic skills :

  • Strong interpersonal and communications skills in English.
  • Availability for short travels
  • 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.

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