By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
As a Senior ML engineer your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Authority
Develop models and train them
Research on new technologies
Participate in recruitment process
Responsibility
Investigation and perform appropriate ML algorithms and devices
Improve machine learning applications according to conditions
Choose proper datasets and data representation systems
Analyze and modify data science prototypes
Design machine learning systems
Implement statistical analysis and fine-tuning using test outcomes
Training systems when required
Increase existing ML libraries and frameworks
Requirements
Master's degree in computer science, math, statistics or a similar field
6+ years of working experience in data science or algo training
2+ years of leading a team experience in AI/ML departments
Familiarity with Python, R or Java
Experience in machine learning frameworks like TensorFlow or Keras
Excellent data modeling and data architecture abilities
Strong expertise in Hadoop or other distributed computing systems
Familiarity with Agile methodology
Benefits
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity
