Machine Learning Engineer

3 weeks ago


Angeles City, Central Luzon, Philippines Universal Access and Systems Solutions Inc. Full time

Job Overview

The Machine Learning Engineer develops and applies ML and AI models to improve business processes in an IT/BPO company. They work with large data sets, create predictive models, and automate tasks to drive efficiency and innovation.

Key Responsibilities:

  • Collaborate with teams to deploy models into production, monitor performance, and make improvements.
  • Stay up to date with new technologies and explain complex concepts to non-technical teams.
  • Mentor junior staff.
  • Design and build machine learning systems to address complex problems.
  • Develop custom data models and algorithms.
  • Apply machine learning, neural networks, and other computational techniques to extract insights from large datasets.
  • Data Analysis and Processing:
  • Collect, analyze, and interpret raw data from various sources.
  • Clean and validate data to ensure accuracy, completeness, and uniformity.
  • Develop and implement data collection systems and other strategies to optimize statistical efficiency and data quality.
  • Algorithm Implementation and Testing:
  • Implement new or enhanced software algorithms to improve operational efficiency.
  • Test and deploy models and algorithms.
  • Validate model and algorithm effectiveness through testing and performance monitoring.
  • Research and Innovation:
  • Stay abreast of developments in machine learning and AI.
  • Conduct ongoing research to improve existing machine learning models and explore new methods and techniques.
  • Participate in professional conferences and workshops.
  • Collaboration and Communication:
  • Collaborate with IT and business teams to understand company needs and devise possible solutions.
  • Communicate complex machine learning concepts to non-technical stakeholders.
  • Prepare reports and present results to management and other teams.
  • Project Management:
  • Lead machine learning project planning and execution.
  • Monitor project progress and address any issues that arise.
  • Act as a liaison between the technical and business units of the company.

Qualifications:

  • Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong knowledge of machine learning frameworks (like Keras or TensorFlow) and libraries (like scikit-learn).
  • Experience with programming languages such as Python, R, or Java.
  • Familiarity with cloud services (AWS, GCP, Azure) and machine learning deployment pipelines.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.
  • At least a year of experience in a similar role.

Seniority Level: Mid-Senior level

Employment Type: Full-time

Job Function: Information Technology

Industries: IT System Custom Software Development and Software Development

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