Senior Machine Learning Engineer (Open to remote)

This is Ekkiden

Ambition and innovation are our driving force. We aim high, act quickly, and acquire the wherewithal that we need to achieve our objectives. Our organisation is shaped by the requirements of both our clients and our teams. Becoming a European benchmark requires hard work, quality and respect. We pave our own path, with international teams committed to sustainable growth. We help clients to innovate and we make sure we question ourselves at all times. At Ekkiden everything is possible. Our managers are trained to bring out the best in every team member. If you are daring, creative, and have great people skills, if you want to live an extraordinary human experience and you don’t want to keep reminding yourself why you get up in the morning, it's time to meet up.

Role: Senior Machine Learning Engineer

This role is open to remote conditions. Application from women are particularly encouraged !

Within an international environment, we are looking for a Senior Machine Learning Engineer responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services, as well as to help invent, implement, and connect sophisticated machine learning and deep learning algorithms for digital learning experience platform (LXP)

Responsibilities

Coordinate with external and internal partners as required to understand business requirements, plan and implement tasks required for the development of machine learning and deep learning sub-systems and products.

Designing, developing and maintaining core system features, services and engines.

Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product.

Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility.

Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules.

Guide junior members of the team and assist them with design, development, test and implementation.

Assist with implementation of MLOps and related practices to continually retrain and test assigned sub-systems and products.

Own the overall assigned features and products.

Conduct quantitative research, focusing on, but not limited to, applying advanced statistical learning methods to diverse data sets in order to build robust models for forecasting stock risk and returns.

Build efficient tools and scalable systems for the team.

Evaluate new datasets for potential inclusion in our Machine Learning models.

Design and deliver Machine Learning Models and services supporting Learning Experience Platform and its components.

Build the core and support systems for learning platform and develop features.

Maintenance of the core and support systems by constantly updating the source codes and allied repositories.

Develop technical documentation and maintain active tech repositories for all tech activities carried out.

What we are looking for

University or Bachelor's degree in Engineering, Mathematics, Computer Science or related discipline.

5+ years’ experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop).

5+ years’ experience with OO design and common design pattern.

5+ years’ experience with data structures, algorithm design, problem solving, and complexity analysis.

3+ years’ experience developing cloud software services and an understanding of design for scalability, performance and reliability.

Experience defining system architectures and exploring technical feasibility trade-offs.

Experience optimizing for short term execution while planning for long term technical capabilities.

Ability to prototype and evaluate applications and interaction methodologies.

Ability to produce code that is fault-tolerant, efficient, and maintainable.

Academic and/or industry experience with standard AI and ML techniques, NLU and scientific thinking.

Excellent skills in machine learning engineering with Python: PyTorch, TensorFlow, Caffe, Pandas, SciPy, OpenCV, Scikit-Learn.

Experience in Predictive modelling, Recommendation systems, Translation engine, Conversational AI.

Good knowledge of Database RDBMS DB like MariaDB / MySQL, Postgres, SQL and NoSQL DB like Elastic Search, MongoDB, Cassandra etc.

Good knowledge of Container Technologies, such as Kubernetes, Docker.

Good knowledge of System Admin, such as BASH, Git.

Preferred engineering experiences in MLOps, MATLAB and Java.

Cloud platform experience: Azure and AWS.

Fluent in English. Spanish and Italian are a plus.

What we offer

Participate in the creation of a European technology and organisational consulting group

A unique, innovative and dynamic working environment

A career path tailored to your personality, both in terms of job position and location

The opportunity to express yourself, assert your opinion and make an impact within our organisation and/or further afield

You say it, you own it. Once your idea has been given the go-ahead, it is up to you to make it happen

A demanding and innovative training program delivered by our greatest experts

Age is just a number, what really matter are achievements. We have a fast-track promotion system for employees who deliver

Our working conditions are concentric with our values and ambitions