• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Skills:

• Fluency in Python
• Good understanding of Linux
• Experience building custom integrations using APIs
• Experience developing and maintaining ML systems built with open source tools
• Experience developing with containers (Docker)
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow,
• Keras, etc.)
   

Role: Data Science & Machine Learning - Other

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Computers

Key Skills

Skills highlighted with ‘‘ are preferred keyskills

Artificial Intelligence

tensorflow       Algorithms     pytorch       data structures      Keras      machine learning        Deep Learning