Overview:
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 are 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 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.
Responsibilities:
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:
Azure Data & IA Presales Consultant
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.
Qualifications:
Profile: Professional in systems engineering or related fields with experience in Data & AI, providing technical knowledge and niche mentorship in the sales process to facilitate closing the deal
Required Skills:
* Proficiency in cloud platforms such as Azure for implementing and managing AI and data solutions.
* Understanding of cloud-based services like AWS SageMaker, Azure Machine Learning, and Google AI Platform for training and deploying models.
Other related knowledge includes:
* NoSQL databases (MongoDB, Cassandra) and distributed storage systems (HDFS) to handle various types of data and large data flows.
* Knowledge and experience in visualization, analysis, and Big Data.
* ETL processes and data pipeline development (Apache Airflow, NiFi).
* Data analysis tools such as Python (NumPy, Pandas), R, and SQL for data manipulation and exploration.
Desirable knowledge:
* Ability to explain concepts such as regression, classification, clustering, and neural networks to clients with varying levels of technical knowledge.
* Experience applying AI and machine learning techniques to real-world problems across different domains, such as healthcare, finance, retail, etc.
* Familiarity with deep learning frameworks like TensorFlow, PyTorch, and Keras.
Certifications:
* Az-900
* AI-900
* DP-900
Desirables Certifications:
* AI-102
* PL-300
* DP-100
* DP-203
Benefits:
* Direct and indefinite-term employment. This demonstrates our curiosity about building stable and long-term relationships.
* With our program Transformation Academy and other training and certification spaces, you will have the opportunity to develop your potential in a personalized way and in accordance with your objectives within the role.
* Health policy.
* Payment of 100% disability and sick-leave benefits.
* Access to ReferOne: this is a referral program that gives you the opportunity to earn a financial incentive by referring a friend or acquaintance to our company.a
* You will be part of one of the most driven Employee Funds in the industry where you will have access to savings, credits, and special agreements with allied brands.
* Accompaniment for your English language learning.
* Spaces for leisure, celebrations, and recreation for your physical and mental health.
* Days off for wedding, and graduation days
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, sexual orientation, gender identity or expression, or any other characteristic protected by local laws
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