Machine Learning Officer - Senior
At a glance
Senior Machine Learning Engineering role at Inetum. Lisbon · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build ML and AI products from data collection and labeling through model training, testing and evaluation
- Create and support internal applications alongside the AC team’s data scientists and developers
- Work with clients throughout application development and choose approaches that fit the problems and company framework
- Help put models and software into production, then support deployment, monitoring and ongoing maintenance
- Share data-driven practices internally and track new methods, technologies and tools
What you bring
- A university or engineering-school master’s degree in mathematics, statistics, computing, data science or a related engineering area
- Fluent English and the ability to explain model results and the factors that shape them
- Strong programming and algorithm skills, plus experience with at least one machine-learning development stack
- Working knowledge of statistical analysis, databases and SQL or NoSQL tools
Who this fits
This senior role suits someone who can build and operationalize machine-learning solutions while working directly with clients and technical teammates. The position is on-site in Lisbon. French and Portuguese are listed as advantages, and a relevant PhD is also an advantage rather than a requirement.
From the employer
Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.
Job description:
Develop End to End Product Lifecycle:
- Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
- Develop, modify, and support in-house applications, working hand-in-hand with the data scientists and developers of the AC team
- Work closely with clients during all stages of the application life cycle
- Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software:
- Follow industry best practices 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
- Contribute to disseminate a culture of data driven solutions within CIB
- Maintain a strong market watch on the latest developments on methodologies, technologies, and tools"
Main Tasks:
- Develop End to End Product Lifecycle
- Implement and assist the deployment and maintenance of models and software
Technical Skills:
- Ability to explain the results of a model and the different elements impacting it
- Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis,
- Knowledge of at least one ML development stack (e.g. scikit-learn, keras, …)
- Knowledge of NLP techniques
Language Skills:
- Fluent English
- French and Portuguese are a plus
- Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge.
- Knowledge of databases and associated tools (SQL and NoSQL)
- Familiarity with continuous integration tools (pref. Jenkins, Git)
- Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)
Soft Skills:
- Ability to think abstractly and creatively
- Excellent communication and interpersonal skills
- Flexibility: ability to work in a changing environment
Education
- Engineer School/master’s degree from university with a specialization in mathematics, statistics, computer science, data science or any engineering related field
- Although not strictly required a PhD on data-science, engineering or related fields is an advantage