Machine Learning Engineer Role

7 days ago


Taguig, National Capital Region, Philippines Intelligence Flow, Inc. Full time

About Us

We accelerate product launches, support vision execution, and create partnerships for success at Intelligence Flow, Inc.

Our team is composed of experienced engineers and industry experts who prioritize swift concept-to-market development and practical solutions for real-world challenges.

About The Role

As a Data Scientist at Intelligence Flow, Inc., you will be responsible for analyzing large datasets, building predictive models, and extracting meaningful insights to drive business decisions.

You will use your expertise to collect, clean, and analyze large datasets to identify trends and patterns.

You will develop and implement machine learning models and statistical algorithms to drive business outcomes.

You will collaborate with cross-functional teams to solve business problems using data-driven approaches.

You will design and maintain data pipelines for processing and storing large datasets.

You will communicate findings and insights through reports, dashboards, and visualizations.

You will optimize models for performance, scalability, and accuracy.

You will stay updated with the latest advancements in data science, AI, and analytics.

Key Responsibilities

  • Analyze large datasets to identify trends and patterns.
  • Develop and implement machine learning models and statistical algorithms.
  • Collaborate with cross-functional teams to solve business problems.
  • Design and maintain data pipelines for processing and storing large datasets.
  • Communicate findings and insights through reports and visualizations.

Requirements

  • 2+ years of experience in data science, machine learning, or related fields.
  • Strong proficiency in Python, R, or SQL for data analysis and modeling.
  • Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
  • Understanding of statistical methods and data-driven decision-making.
  • Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
  • Strong problem-solving and communication skills.

Nice-To-Have

  • Experience with big data technologies (Hadoop, Spark, Databricks).
  • Background in deep learning, NLP, or computer vision.
  • Knowledge of A/B testing and experimental design.

Benefits

  • Competitive salary and bonuses.
  • Flexible work hours and remote work options.
  • Comprehensive health insurance.
  • Generous PTO and observance of Philippine holidays.
  • Free lunch meals provided at the office.
  • Professional development and learning opportunities.


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