Intelligent System Developer

3 days ago

Pasig, National Capital Region, Philippines beBeeMachineLearning Full time $100,000 - $150,000
Machine Learning Engineer Position

We are seeking a skilled and experienced Machine Learning Engineer to fill this key role.

Key Responsibilities
  • Design, develop, and implement machine learning models and algorithms to address business challenges and opportunities.
  • Conduct data preprocessing, feature engineering, and model training to build robust AI solutions and drive innovation.
  • Deploy and integrate machine learning models into production systems to enhance functionality, performance, and user experience.
  • Collaborate with software engineers to ensure seamless integration of AI solutions within existing applications and meet business objectives.
  • Analyze large datasets to uncover insights and identify patterns that inform AI model development and improvement.
  • Stay updated with the latest advancements in machine learning and AI research to incorporate state-of-the-art techniques and best practices into projects.
  • Continuously monitor and evaluate the performance of machine learning models, making improvements as needed to optimize results.
  • Optimize models for scalability, efficiency, and accuracy to meet business needs and goals.
  • Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver effective AI solutions.
  • Communicate findings and progress to non-technical stakeholders in a clear and concise manner to ensure alignment and understanding.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • At least 3-5 years of experience in machine learning, AI, or data science roles, with a proven track record of developing and deploying successful machine learning models.
  • Proficiency in programming languages such as Python or R, with expertise in popular machine learning frameworks and libraries.
  • Strong understanding of statistical analysis, data mining, and data visualization techniques to inform AI model development and optimization.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services to support scalable and efficient AI solution deployment.

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