Senior Machine Learning Operations (MLOps)

Company Description

Talan is an international advisory group on innovation and transformation through technology, with 5000 employees, and a turnover of 600M€.

We offer our customers a continuum of services to support you at each key stage of your organization's transformation, with 4 main activities:

• CONSULTING in management and innovation : supporting business, managerial, cultural, and technological transformations.
• DATA & TECHNOLOGY to implement major transformation projects.
• CLOUD & APPLICATION SERVICES to build or integrate software solutions.
• SERVICE CENTERS of EXCELLENCE to support the latter through technology, innovation, agility, sustainability of skills and cost optimization.

Talan accelerates it's clients' transformation through innovation and technology. By understanding their challenges, with our support, innovation, technology and data, we enable them to be more efficient and resilient.

We believe that only a human oriented-practice of technology will make the new digital age an era of progress for all. Together let's commit!

Job Description

We need someone who can help us on different fronts:

Senior MLOps:

• Obtaining data and improving its quality through ETL.
• Productivization of models in heterogeneous environments (APIs, pipelines, automations, chatbots).
• Python and Spark code optimization.
• Cloud tasks (Azure and AWS).
• Linux machine administration.

Qualifications

Must Requirements:

• 4 years of experience in similar roles
• Experience in administration of Linux environments.
• Knowledge of Cloud services (Azure and AWS).
• Knowledge of supervised (regressions, random forest, SVM, etc.) and unsupervised (PCA, clustering, etc.) Machine Learning models.
• High knowledge in Python and/or Java.
• Experience with API development.
• Experience in orchestration, CI/CD pipelines, and containerization (Docker, Kubernetes).

Additional Information

What do we offer you?

• Full-time contract
• Smart Office Pack so that you can work comfortably from home. 
• Training and career development 
• Benefits and perks such as private medical insurance, life insurance, lunch and travel cards as part of the flexible remuneration package 
• Possibility to be part of a multicultural team and work on international projects 
• Hibrid position based in Málaga, Spain. Realocation is mandatory
• Possibility to manage work-permits.

If you have read this far and you are looking forward to joining this challenge, do not hesitate to apply... we would be delighted to meet you!