ML Engineer (NLP & AI)

Posted 3 Days Ago
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Brussels
In-Office
Expert/Leader
Information Technology
The Role
The ML Engineer will design and manage hybrid cloud ML Ops infrastructure, implement NLP and AI software, optimize ML pipelines, and provide support on MLOps practices with extensive experience in the field.
Summary Generated by Built In

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Machine Learning Engineer (NLP & AI) to join our UniQue team.

What will you be doing in this role?

  • Design, implement and maintain a scalable, reliable and secure hybrid cloud ML Ops infrastructure to deploy, test, manage and monitor ML models in different environments.
  • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL) and/or Artificial Intelligence (AI).
  • Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models.
  • Analyse performance metrics and troubleshoot issues to ensure high availability and reliability.
  • Design CI/CD pipelines, use orchestration solutions and data versioning tools.
  • Creating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness.
  • Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts.
  • Provision of security studies, security assessments or other security matters associated with information system projects.
  • Provision of support and guidance to other team members on MLOps practices.

Requirements

What do you need to succeed in this position?

  • Master's degree in IT and minimum 15 years of relevant experience (or Bachelor's in IT and minimum 19 years of experience).
  • One of the following: University degree in NLP (computer science or computational linguistics), Specialisation in (statistical/neural) machine translation (MT), or University degree in IT / Computer Science / Engineering with specialisation in AI, ML operations or data engineering.
  • Strong experience managing on-prem and/or cloud-based MLOps infrastructure.
  • Hands-on experience with containerisation and orchestration tools (e.g. Kubernetes, Docker, Podman, EKS, PKS).
  • Proficient in MLflow, TensorFlow (TFX), and Airflow.
  • Solid experience with AWS and/or Azure.
  • Proficient in Python, Unix, and Bash scripting.
  • Experienced in handling large-scale, unstructured data and data lakes.
  • Familiar with monitoring/logging tools (e.g. ELK, Prometheus, Grafana, OpenTelemetry, CloudWatch).
  • Skilled in model testing and validation in production environments.
  • Good understanding of Agile development methodologies.
  • Experienced with Infrastructure as Code (Terraform, CloudFormation).
  • Knowledge of messaging platforms (Kafka, Redis, RabbitMQ).
  • Understanding of data security (encryption, ML security a plus).
  • Familiar with NoSQL databases (e.g. Elasticsearch, MongoDB, Cassandra, HBase).
  • Experience with query languages (SQL, Hive, Pig) and information extraction.
  • Excellent English (C-level, written and spoken).

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

Top Skills

Airflow
AWS
Azure
Bash
Cassandra
Cloudwatch
Docker
Elasticsearch
Elk
Grafana
Hbase
Hive
Kafka
Kubernetes
Mlflow
MongoDB
Pig
Prometheus
Python
RabbitMQ
Redis
SQL
TensorFlow
Terraform
Unix
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The Company
Barcelona, Catalonia
962 Employees
Year Founded: 1964

What We Do

Uni Systems, a member of Quest Group, has been a reliable ICT partner to companies and organizations in the European market for over 60 years. We are the first IT company founded in Greece, in 1964, and we have been supporting our clients ever since. Trusting customers, extensive solutions offering, strong partnerships and experienced people, those are the main grounds for Uni Systems’ rapid expansion of operations across geographies and industries.

With more than 1450 specialized ICT professionals, established presence in more than 20 countries, and branches and subsidiaries in the heart of the European Union (Athens, Barcelona, Brussels, Bucharest, Luxembourg and Milan), we are effectively addressing the needs of European and International organizations and institutions and delivering value-added integrated solutions to our customers.
Through our strong industrial vertical expertise, supported by the range of our horizontal solutions, we hold a substantial and successful track record in the delivery and implementation of large-scale, mission-critical projects in the sectors of Banking & Finance, Enterprise & Utilities, Government, and Telecommunications, as well as in EU Institutions and Agencies.
Participations in real commercial implementations of best practices (i.e. ITIL, RUP, PRINCE2, PMI), has provided our people with significant experience, unique know-how and proven capability in designing, implementing and successfully supporting complex ICT projects, through a range of solutions and business areas.
At Uni Systems, we support innovation, and we have been investing in the European and National research ecosystem. Our Research and Innovation (RDI) department has been successfully bidding and winning a series of research programs in promising technological areas, such as 5G, AI in Health, and Blockchain in Governance.

Enabling our clients' digital transformation journey is our passion and we remain strongly committed to it.

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