Jobline Resources Pte Ltd

Senior Staff Data Scientist / Machine Learning Eng...

Job description

Responsibilities

  • Deliver advanced analytics solutions in the area of deep learning and machine learning.
  • Apply Deep Learning, Time Series Analysis, NLP, XGBoost, Autoencoder, Keras and Tensorflow to provide predictive analytics solutions and extract actionable insights.
  • Develop Deep Learning models to solve business problems.
  • Leverage and/or develop innovative data mining and machine learning methods to solve novel and diverse business problems.
  • Quantify the effectiveness and value of innovations with subject matter experts.
  • Lead projects independently until results meet the internal stakeholder requirements.
  • Be the subject matter expert and mentor other data scientist.
  • Ability to teach in our analytics upskilling program and coach participants when required.
  • Understand business requirement to build reliable data infrastructure using big data technologies.
  • Build AI/ML models. Apply ML algorithms and libraries. Train and retrain ML systems and models. Tune and analyze AI/ML algorithms and extract actionable insights.
  • Play a key role in MLOps : Follow machine learning model management, lifecycle best practices, and MLOps for all AI/ML models created. Understanding of the complete analytics lifecycle and applications.
  • Design ML systems. Research and implement ML algorithms and tools.

Requirements

  • More than 10 years of experience in Python (and basic ML libraries), and SQL.
  • Proficient in git version control. Experience working in an agile environment.
  • Solid technical knowledge and hands-on skills in machine learning engineering, deep learning, statistical algorithms, data mining, and data structures.
  • Hands-on experience in solving analytics problems related to complex time-series data and/or text data.
  • Experience in working with HDD cert log and cert data.
  • Thesis or research experience in topics related to natural language processing, artificial intelligence, and machine learning would be a plus.
  • Proven record of accomplishment in delivering analytics solutions using TensorRT, Keras, Tensorflow, PyTorch, and CNN.
  • Understanding of containerization, CI/CD, RESTful web services, web applications, and dashboard development.

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