Job Brief: We are looking for Senior Machine Learning Engineer. As our ML Engineer, you’ll design and scale models that power intelligent decisions across Virgin Mobile LATAM, advancing how we understand, serve, and retain our customers. Your work will sit at the core of our customer journey — translating behavior, engagement, and transaction data into predictive insights that directly impact commercial outcomes. If you’re ready to make measurable impact through data-driven innovation, this is your moment.
VentureDive Overview: Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
Key Responsibilities:
Identify valuable data sources and automate data collection processes.
Preprocess, clean, and transform structured and unstructured data for analysis.
Build, train, and optimize machine-learning and predictive models using Python.
Evaluate and combine multiple models through ensemble or hybrid approaches.
Conduct exploratory analyses to uncover trends and behavioural patterns.
Present insights and results using data visualization tools such as Plotly or D3.js.
Collaborate closely with engineering, BI, segments, and product development teams to ensure solutions align with business needs.
Champion data-driven decision-making and promote the adoption of ML methods across the organization.
Required Skills & Qualifications: Education:
BS in Computer Science, Engineering, or a related field; a graduate degree in Data Science or another quantitative discipline is preferred.
Experience:
3–6 years of proven experience as a Data Scientist or ML Engineer within telecom, digital, or consumer-tech domains.
Experience in data mining, model development, and deployment pipelines.
Exposure to BI or DWH environments in telecom is a strong advantage.
Technical Skills – Must Have:
Strong understanding of ML techniques and algorithms (e.g., k-NN, Naive Bayes, SVM, Random Forests, X GBoost).
Expertise in Python, R, and SQL for data preparation and modeling.
Proficiency with statistical methods for forecasting and model evaluation.
Experience with data visualization tools (e.g., Plotly, D3.js, Tableau).
Knowledge of data frameworks such as Hadoop and modern data pipelines.
Knowledge of model evaluation and validation (e.g. AUC, precision/recall, overfitting, stability)
Ability to build end-to-end ML workflows from data extraction to model scoring
Working knowledge of SQL for data extraction and analysis
Experience with feature engineering, data preprocessing, and handling data quality issues
Technical Skills – Nice to Have:
Experience with Databricks Platform.
Understanding of cloud-native environments for ML deployment.
Good grasp of performance metrics and ML validation approaches.
What we look for beyond required skills In order to thrive at VentureDive, you …are intellectually smart and curious …have the passion for and take pride in your work …deeply believe in VentureDive’s mission, vision, and values …have a no-frills attitude …are a collaborative team player …are ethical and honest
Are you ready to put your ideas into products and solutions that will be used by millions? You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
