MACHINE LEARNING ARCHITECT

Do you want to be part of a company that specializes 100% in its own #Data & #Analytics projects? If so, keep reading! Even though we are relatively unknown to the general public, at SDG we work for half of the IBEX-35 groups and other international companies.
Thanks to the analytics boom, we are growing steadily and have been helping our clients understand and analyse their data since .
About SDG   SDG Group is a global consulting firm focused exclusively on Data & Analytics solutions that cover the entire data value chain.
SDG provides both consulting and specialization career plans for those who want to progress in the data world.
Through our Smart Work culture, you can define the work model that best suits you and your personal needs, while also collaborating on high-impact initiatives for leading clients in their respective industries.
As a machine learning architect in the Data Science area, you will be part of multidisciplinary teams with the goal of helping our clients to develop machine learning and artificial intelligence solutions in highly complex technical environments.
You will be able to use a full range of innovative technologies to build AI solutions under different paradigms of predictive analytics and deep learning, applying the right principles in terms of architecture and development.
Thanks to our specialist path, you will have the opportunity to grow as an ML systems architect.
You will have access to tools and resources for your continuous learning and professional growth while you get involved in various challenges that allow both SDG Group and our customers to fully exploit the infinite possibilities offered by artificial intelligence.
We could go on and on about what makes us special, and we'd love to do it in a phone call.
For now, let's show you some details that we're sure you'll find interesting    What will be your mission? Lead teams of machine learning engineers in the implementation of AI solutions in enterprise environments.
Define and design Advanced Analytics platforms in the cloud to cover the entire data science lifecycle from an MLOps perspective.
Help our customers define their strategy and methodology when considering the exercise of data science in these platforms.
Know and use the various tools and platforms available in different clouds for the development of data science solutions.
Azure Databricks, Azure Machine Learning, Amazon SageMaker, Google Vertex AI, etc.
Collaborate in the development of the company's value proposition in terms of data science, putting special focus on our vision about architectures for ML systems.
Collaborate with the momentum department and different consulting teams on the development of business proposals from a solution architect perspective.
What will make you succeed in this position? Degree in computer science, telecommunication engineering, or any other degree in in a technical environment with proximity to software engineering.
8 years or more of general experience, and at least 5 years of experience as a machine learning engineer and/or machine learning architect.
Theoretical and practical knowledge of data science fundamentals, data science solution lifecycles, and MLOps methodology.
Experience in software development and implementation of machine learning and artificial intelligence solutions.
Experience in designing and building architectures for the implementation of machine learning systems and platforms.
Knowledge of and experience in state-of-the-art technologies for the foundation of machine learning and artificial intelligence solutions in the cloud.
Communication and presentation skills in English and (desirably) Spanish.
Finally, we would like to tell you about the stages of our selection process.
In our processes you will do 3️ meetings.
First contact with our People First area (where we will discuss professional growth, salary band and define which areas suit you).
Second technical session where you can surprise us with all your knowledge and skills in technological environments (so we can offer you a project that matches your knowledge and interests).
Meeting with the person in charge of the team you will be joining in order to solve any doubts that may have emerged during the process.
If you have passed all the phases, good news! You will receive a call from People First where we will present our offer for you to join us, and we will be able to answer any questions you may have.
When you confirm that you want to be part of the SDG family, we will start preparing everything to welcome you with great enthusiasm.
You can't join us now, but you are interested in SDG Group? Don't worry, you can go through the selection process now and we will consider you for the next job opportunities that match your professional profile.
JOIN NOW, WE LOOK FORWARD TO MEETING YOU! Visit our Career Page and apply.
Machine Learning Architect (100% remote working) - SDG Group   #WeAreSDG   #SDGGroup #WhySDG