Success at SoftwareOne is not defined by what you do for yourself, but by what you deliver for our customers, the business, and for the employees around you. SoftwareOne employees are energized, agile, and laser-focused on delivering world-class Customer Satisfaction and results. Our leaders motivate and inspire their teams and provide a working environment that delivers incredible levels of Employee Satisfaction. We are Humble. Our leaders operate with a high level of Discipline but can work at Speed to manage change in a global economy. We are a leading global provider of end-to-end software and cloud technology solutions, headquartered in Switzerland. Our 8,700 employees support our approximately 65,000 customers in their digital transformation.
The role We strive to foster a culture and workplace that empowers our employees to be authentic, best versions of themselves. This is the basis of our diversity, equity, inclusion, and belonging initiatives.
We are thrilled to announce an opportunity to join our team as :
Scope : Full-time | Office : Colombia | Hybrid Model
How a day to day would look like in this role : You will play a crucial role by collaborating with our sales team and customers to understand their requirements, assess the scope, and optimally size opportunities. Your main responsibilities will focus on providing technical support and translating customer requirements into customized solutions to meet their needs, identifying cross-sell and upsell opportunities, defining margins in alignment with sales and delivery teams, drafting statements of work, and crafting a repository of solution materials.
What we need to see from you Profile : Professional in systems engineering or related fields with experience in Data & AI, providing technical knowledge and specialized mentorship in the sales process to facilitate business closures.
Required Skills : Proficiency in cloud platforms like GCP for implementing and managing AI and data solutions.Understanding of cloud-based services such as AWS SageMaker, Azure Machine Learning, and Google AI Platform for training and deploying models.Other related knowledge : NoSQL databases (MongoDB, Cassandra) and distributed storage systems (HDFS) to handle diverse types of data and high-volume data flows.Knowledge and experience in Visualization, Analytics, and Big Data.Desirable knowledge : Ability to explain concepts like regression, classification, clustering, and neural networks to clients with different levels of technical understanding.Experience in applying AI and machine learning techniques to real-world problems in various domains, such as healthcare, finance, retail, etc.Familiarity with deep learning frameworks such as TensorFlow, PyTorch, and Keras.Benefits : Creative culture with lived values for an appreciative and supportive work environment.Employee recognition programs.A variety of training and development opportunities.Work-life balance.Multicultural interaction.Contribution to society through employee initiatives.Newest technologies for our clients and colleagues.And much more!Accommodations SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at @. Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs, and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
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