Machine Learning Senior Officer Porto

Machine Learning Senior Officer
Porto
Porto, Porto, Portugal

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and
- being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

• DECSKILL TALENT: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.
• DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.
• DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate
  - term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for an Machine Learning Senior Officer!

Responsabilities:

• Analyze internal clients’ needs:>Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges.

Investigate and solve business issues using technical,
- driven, AI/ML strategies ✓Build and/or adapt AI/ML models:

• Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i. e. , collect labeled data, setup and train models, test and evaluate results.
• Work closely with clients during application
  - out and all stages of the application lifecycle. Design the most adequate approaches to solve the identified problems within the company’s framework.

Implement and assist the deployment and maintenance of models:

• Follow to best practices in the industry to implement and scale out the developed solutions into production grade software.
• Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions.

Requirements:

• Up to 2 year experience as Data Analyst / Data Scientist / Machine Learning Specialist in at least one of the following areas: Data extraction, document processing or process automation projects. Classification / Regression / Clustering Machine Learning and/or statistical models. Deep Learning models preferentially in the context, Speech-to-text or computer vision projects. Artificial Intelligence techniques and paradigms. Exposure to professional software develop.
• Ability to think abstractly and creatively.
• Ability to explain the results of a model and the different elements impacting it.
• High statistical and quantitative analysis skills (e. g. machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis, …).
• Knowledge of ETL methods.
• Knowledge of Machine Learning models.
• Knowledge of NLP and/or computer vision techniques.
• Knowledge of deep learning architectures and frameworks (e. g. Tensor
  Flow, Keras, …).
• Knowledge of at least one ML development stack (e. g. Scikit-learn, Keras, Py
  Torch…).
• Effective Programming skills (e. g. Python) and algorithmic knowledge.
• Excellent communication and interpersonal skills.
• Flexibility: ability to work in a changing environment.
• Research-oriented.
• Fluent in English (C1- C2).

If you’re interested in this job, please send your CV to cesaltina. abreu@decskill.com with reference “CA/MLOfficer".

Thank You!

Decskill is committed to equality and
- discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.