Algorithm Engineer, Energy MNC

Location: Singapore
Job Type: Permanent
Discipline:
Salary:
Contact: KarMun Cheah
Email: email KarMun
Posted: 6 months ago
  • Established global MNC within the energy sector
  • Diverse, forward thinking, and high performing team
  • Work on cutting edge technologies and advanced data science solutions

Responsibilities

  • Working on core data science projects ranging from prediction to regression and operational research
  • Application of a multitude of techniques such as deep learning, reinforcement learning, machine learning, natural language processing, and operational research to solve real world problems
  • Applying advanced statistical methods and work with large, complex data sets.
  • Working closely with operational teams across the business on deployment, monitoring, and management
  • Designing optimized and controlled models in order to solve complex problems
  • Understanding the business and clients’ needs and goals to turn business problems into machine learning problems

Requirements

  • Minimum three (3) years of professional working experience
  • Proficient in Python, Java, C++
  • Strong background in computer programming
  • Deep knowledge of Machine Learning algorithms such as:
  • Regression Prediction based – Linear Regression / Random Forest / Gradient Boosting Regression / Support Vector Regression
  • Time Series Analysis
  • Clustering and Classification algorithms
  • Feature engineering
  • Strong understanding of Deep Learning programming frameworks and architecture such as: Tensorflow / Keras / Torch / Caffe / CNN etc.
  • Significant experience with Operations Research algorithms and libraries such as: Gurobi / Coin-OR / Cplex / GNU Linear Programming Kit
  • Excellent problem solving, critical thinking, and communication skills

Reaching out

For a confidential discussion on this or any other opportunities available in the market please contact KarMun Cheah at karmun.cheah@next-wavepartners.com - Direct Line: +65 6692 9042

EA License No: 16S8303 - EA Registration No: R1877984