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Machine Learning Engineer - Job ID 35003

Develops, designs, adapts, prototypes and implements in code, supervised and unsupervised machine learning and advanced statistical algorithms. Evaluates and recommends approaches to various data analytics problems. Analyzes and evaluates data sets for both insight into the data and usability for machine learning applications. Conditions data for analysis and works with large scale structured and unstructured data. Creates data pipelines and works with large scale, distributed compute and storage platforms. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance.
 
  • Works on assignments with clearly defined objectives
  • Solves problems of limited scope and complexity
  • Learns to use professional concepts. Applies company policies and procedures to resolve routine issues.
  • Study and transform data science prototypes.
  • Research and implement appropriate ML algorithms and tools.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability.
  • Explore and visualize data to gain an understanding of it.
  • Identify differences in data distribution that could affect performance when deploying the model in production.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.
Job Qualifications
  •  Masters or PhD Degree in Electrical or Computer Engineer or equivalent and 0-2 years relevant experience.
  • Understanding of data structures, data modeling and software architecture.
  • Knowledge of math, probability, statistics and algorithms.
  • Ability to write robust code in Python
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
  • Knowledge in wireless communications industry is a plus, specifically radio access network.
Job Function
  • Study and transform data science prototypes.
  • Research and implement appropriate ML algorithms and tools.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability.
  • Explore and visualize data to gain an understanding of it.
  • Identify differences in data distribution that could affect performance when deploying the model in production.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.