Job Description
Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation.
With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group.
Akkodis is a commercial brand under which both AKKA and Modis entities operate.
🔎 Job Opportunity: Machine Learning Operations Engineer 🔎
Are you passionate about the intersection of machine learning and software development? Do you have experience in setting up and configuring ML environments and deployment tools? Our client, a dynamic and innovative organisation, is seeking a talented Machine Learning Operations Engineer to join their team. If you thrive in a collaborative and fast-paced environment and are excited about driving best practises in ML model development and deployment, this could be the perfect opportunity for you!
🌟 What you'll be doing 🌟
* Working with cutting-edge technologies like Kubernetes and Docker to set up and configure ML environments.
* Writing scripts to automate workflows and ensure reproducibility of ML experiments.
* Conducting regular performance reviews and data audits of deployed models.
* Troubleshooting issues related to model performance and infrastructure.
* Participating in cross-functional teams to drive best practises in ML model development and deployment.
* Collaborating with development teams to enable the delivery of high-quality, secure, and scalable applications on the cloud with automated tools and scripts.
* Identifying solution opportunities that focus on reusing code and maximising the return on development costs.
* Recommending best practises to ensure robust, secure, and scalable products are developed.
* Participating in agile threat modelling and vulnerability management.
* Ensuring compliance with security and regulatory requirements.
* Developing solutions where data can bring value to our offers and customer experience.
* Supporting the Customer Enterprise/Solution Data Architects in coordinating data landscaping and cataloguing.
🌟 What you bring to the table 🌟
* Solid experience in setting up and configuring ML environments and deployment tools.
* Proficiency in scripting to automate workflows and ensure reproducibility of ML experiments.
* Strong troubleshooting skills to address issues related to model performance and infrastructure.
* Knowledge of CI/CD pipelines to enable efficient deployment of code and automating development and deployment processes.
* Excellent collaboration skills to work effectively with cross-functional teams.
* A passion for driving best practises in ML model development and deployment.
* Experience in developing high-quality, secure, and scalable applications on the cloud.
* Familiarity with agile threat modelling and vulnerability management.