Senior Machine Learning Engineer

  • Sector: 专业服务
  • Contact: Annjelica Antonio
  • Client: Monroe Consulting Group
  • Location: 菲律宾
  • Salary: Negotiable
  • Expiry Date: 16 December 2024
  • Job Ref: BBBH470254_1726557814
  • Contact Email: annjellica.antonio@monroeconsulting.com.ph

Executive recruitment firm Monroe Consulting Group Philippines is recruiting on behalf of the leading technology-focused venture capital firm based in BGC, Philippines with offices in Vancouver, Canada, and Seoul, Korea.

Job Summary

Our Client is looking for a Senior AI + Machine Learning Engineer to help them create artificial intelligence products. The responsibilities include creating machine learning models and retraining systems. Your goal will be to shape and build efficient self-learning applications.

The job is in Taguig City, Philippines, and offers Hybrid (4x/week) working Arrangement.

Key Job Responsibilities:

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring itvia data cleaning
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines-Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production automation tools to enable machine learning
  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture
  • Use exceptional mathematical skills, to perform computations and work with the algorithms involved in this type of programming
  • Produce project outcomes and isolate the issues that need to be resolved
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
  • Use data modeling and evaluation strategy to find patterns and predict unseen instances
  • Apply machine learning algorithms and libraries
  • Communicate and explain complex processes to people who are not programming experts
  • Liaise with stakeholders to analyze business problems, clarify requirements, and define the scope of the resolution needed
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique
  • Research and implement best practices to improve the existing machine-learning infrastructure
  • Train and retrain systems when necessary
  • Drives and helps establish a culture of continuous learning and improvement within the development team
  • Provides timely communication on project deliverables to the appropriate stakeholders.
  • Able to have a flexible work schedule and at times work outside of your normal business hours to accommodate project deadlines as established by the company
  • Helps establish a community of fun at the workplace and be confident to speak up and lead initiatives
  • Other duties as required; special projects as assigned.


Qualifications

  • Experience in building, creating, and/or designing a forecasting or predictive model that will help the business make accurate and smart business predictions/decisions.
  • Excellent written and verbal communication skills and ability to explain complex processes to people who aren't programming experts
  • Proven working experience with 3D Geometrical Shapes and STL Files
  • Proven working experience on Computer Vision
  • Strong analytical skills
  • High attention to detail
  • Innovation and creativity
  • Ability to work with large, complex datasets.