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Machine Learning Engineer – LATAM

Latin America

About Distillery  

Distillery Tech is committed to diversity and inclusion. We actively seek to cultivate a workforce that reflects the rich tapestry of perspectives, backgrounds, and experiences present in our society.  In our recruitment efforts, we are dedicated to promoting equal opportunities for all candidates, regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity.

Distillery accelerates innovation through an unyielding approach to nearshore software development. The world’s most innovative technology teams choose distillery to help accelerate strategic innovation, fill a pressing technology gap, and hit mission-critical deadlines. We support essential applications, mobile apps, websites, and eCommerce platforms through the placement of senior, strategic technical leaders and by deploying fully managed technology teams that work intimately alongside our client’s in-house development teams. At Distillery, we’re not here to reinvent nearshore software development, we’re on a mission to perfect it.

 

About the Position

As a Machine Learning Engineer, you will work to modernize a traditional distribution model by integrating advanced AI-driven solutions, enhancing efficiency, accuracy, and sales performance. The new system will replace manual methods with a technology-driven approach, aligning incentives, and simplifying the distributors' tasks, leading to increased market share and stronger distributor relationships.

Responsibilities

  • You would need to have a strong foundation in the following areas: Core Machine Learning Concepts: Supervised Learning: Algorithms like linear regression, logistic regression, decision trees, random forests, and support vector machines.

  • Unsupervised Learning: Techniques like clustering and dimensionality reduction.

  • Deep Learning: Neural networks.

  • Time Series Analysis: Methods for forecasting and predicting trends in data over time.

  • Deep Understanding of Distribution Dynamics

  • Supply Chain Patterns, Seasonal Trends, Product Life Cycles, Competitive Landscape.

  • Knowledge of Pricing Strategies

  • Price Elasticity, Promotional Strategies.

  • Understanding of Customer Behavior

  • Purchase Patterns, Customer Segmentation.

  • The ML Engineer should provide clear explanations for its recommendations, helping distributors understand the rationale behind the suggestions.

  • Visualizations: Use visualizations and dashboards to present complex data in an easily understandable format.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a related field or Master's degree or PhD in Computer Science, Machine Learning, or a related field.

  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. (NumPy and Pandas as well).

  • Statistical Software (R, Scala, or MATLAB) for data analysis and modeling.

  • Cloud Platforms: Experience with cloud platforms like AWS for deploying and scaling machine learning models. (SageMaker, Forecast, DynamoDB, Redshift, Glue)

 

Why You'll Like Working Here

  • Opportunity to collaborate with multinational teams committed to Distillery's core values of Unyielding Commitment, Relentless Pursuit, Courageous Ambition, and Authentic Connection.

  • A generous, competitive compensation package for exceptional performers, along with a generous vacation package and competitive benefits plan.

  • A remote working environment that promotes flexibility and work-life balance.

  • Opportunities for professional and personal development.