Tupl is a tech company that develops market leading solutions that bring innovation to the backend systems of cellular networks and many other verticals. We have a strong knowledge on wireless communications and IT technologies, especially AI and Machine Learning.
As part of our team, distributed between USA, Spain and Japan, you will have a unique opportunity to grow your professional career by helping us in the continued success of our business transformation software!
General Description
We are looking for an AI Consulting Engineer that is passionate about Machine Learning and Big Data technologies with solid knowledge of the Radio Access Network (RAN) technologies such as LTE, 5G and Open RAN. The AI Consulting Engineer is responsible for Use Cases delivery including data analysis, feature engineering, machine learning model training, and trouble shooting the data pipeline.
Your main responsibilities
- Understand high level business process and translate it into suitable telco use cases with automation-by-AI strategies.
- Analyze and characterize heterogeneous datasets from multiple sources and/or verticals.
- Apply domain expertise and dataset knowledge for KPI definition and Feature Engineering.
- Define, implement and validate KPIs and features relevant to the AI model.
- Identify the most suitable AI technique to apply and fine tune model hyperparameters.
- Identifies appropriate metrics for the business problem and optimizes AI model performance accordingly.
- Validate AI model predictions and generalization capability.
- Identifies weak points and improvement areas of existing models over time.
- Supports Data Engineering teams to define ETL strategies and configurations.
- Identifies new product features, usability improvements and requirements, collaborating with product development teams to specify them.
- Implement required changes in product configuration to deliver the project requirements.
Required Technical Skills and Qualifications
- BS/MS degree in Computer Science, Engineering or a related field.
- Solid knowledge of the Radio Access Network (RAN) technologies such as LTE, 5G and Open RAN.
- At least two years of experience in one or more programming languages (SQL, Python, R, and/or Scala).
- Relevant experience with Data Science tools such as Zeppelin, Jupyter, Excel and SQL.
- Hands-on knowledge of Linux and its shell.
Required Soft skills
- Be a team player and have a strong desire to solve problems, result-oriented.
- Open to learn new technical and soft skills.
- Positive attitude and ability to solve problems autonomously.
- Flexibility to work with customer deadlines.
- Good communication and documentation skills in English (Spanish or Japanese skills are a plus!).
- Great at thinking outside the box and have an aptitude for innovation and problem solving.
- Ability to work as part of a team while maintaining independent thinking.
Desirable skills
- Solid knowledge of the Radio Access Network (RAN) technologies such as LTE, 5G and Open RAN.
- Relevant experience with standard Machine Learning frameworks: Spark MLlib and/or Scikit-Learn.
- Knowledge of Open Source Big Data technologies: HDFS, HBase, MongoDb.
- Familiar with cloud frameworks and virtualisation: Docker and Kubernetes.
What you will love about Tupl!
- A competitive salary and benefits.
- Open and sharing environment where you will be exposed to bleeding edge technologies.
- Work in a local team in Málaga, located in the Green Ray building, with a high level of flexibility (total remote work during COVID restrictions) with international exposure and support to grow in your career.
- Modern hardware like MacBook Pro and peripherals.
We are looking for someone that is a self-starter, that thrives in agile and fast-paced environments and can manage though ambiguity and change. Someone with attitude and strong work ethic.
If these values resonate with you and you are ready to roll up your sleeves, welcome to Tupl!
Disclaimer
Tupl is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
