Senior Machine Learning Expert

Company Description

We Cook iT is an international software house that delivers software development to its corporate customers by providing highly skilled, communicative IT professionals to build their customized products through outsourcing, nearshoring and turn-key projects’ solutions.

How do we differentiate ourselves? By investing in the professional growth and personal care of our software developers. We provide them with a premium service so that they can do the same for our customers.

Our talented team holds software engineers and sales experts, spread across offices in Europe and South America, and we represent a go-getting and driven company who aims to be an inspiring software house, knowing our future relies on IT.

We Cook iT stand for growth, support, dynamic, companionship and communication and we’re looking for a [main characteristic] [position] to join team We Cook iT. Our head office is located in Portugal in the heart of Lisbon (Avenida da Liberdade) and we work mainly for the European market.

**Job Description**:
Processing (NLP), Machine Learning (ML), Deep Learning (DL) and/or Artificial Intelligence

(AI);
- 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 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;
- 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;

**Qualifications**:

- Excellent knowledge of managing a MLOps infrastructure.
- Good knowledge of TensorFlow (TFX), Airflow, MLflow, Kubeflow or equivalents.
- Good knowledge of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn,

pandas...).
- Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM,

Decision Forests, Neural Network, and/or artificial 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 D3.js, GGplot, etc.
- Experience in the field of corpus based linguistics.
- Experience with alignment models and classification methods.
- Experience with data analytics over big datasets, non-structured databases as well as data lakes.

Optional certifications:

- AWS Certified Machine Learning.
- Microsoft Azure AI Engineer Associate.

Additional Information

We’re looking forward to hearing from you