Ai Expert
il y a 2 semaines
- hybrid)**
Role purpose:We challenge and innovate to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
- 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
- Work closely with data scientists and backend 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
- Design the IT architecture for solutons in the NLP / ML / AI fields, and coordinate its implementation considering master
- Provision of security studies, security assessments or other security matters associated with information system projects;
Requirement_
s:
_
- Excellent knowledge of managing a MLOps infrastructure.
- Good knowledge of TensorFlow (TFX), Airflow, MLflow, Kubeflow orequivalents.
- Good knowledge of Perl, Python, Matlab, R and its NLP/ML libraries
- Good knowledge of machine learning techniques and algorithms, suchas kNN, Naive Bayes, SVM, Decision Forests, Neural Network, and/orartificial intelligence frameworks.
- Good knowledge of Data Management.
- Good knowledge of AWS and/or Azure.
- Good knowledge of Linux.
- Good knowledge of Unix and Bash.
- Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
- Good knowledge of quality assurance and quality control for machine translation (MT) and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality.
- Knowledge of query languages, such as SQL, Hive, Pig, etc and with information extraction.
- Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
- Knowledge of data visualisation tools, such as , GGplot, etc.
- Experience in the field of corpus based linguistics.
- Experience with alignment models and classification methods.
- Experience with data analytics over big datasets, nonstructureddatabases as well as data lakes.
Optional certifications:
- AWS Certified Machine Learning.
- Microsoft Azure AI Engineer Associate.
- SAS Certified Professional AI and Machine Learning Certification.
What's in it for you:
- Competitive pay, remuneration package
- Private Health & Medical Insurance
- Access to learning resources and trainings
- Special employee offers and discounts
Salary:
€2, €9,000.00 per month
Ερωτήσεις αίτησης:
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