Machine Learning Engineer – Full Remote

• Perform Data Analysis at scale to get insights;
  
• Perform feasibility and impact analysis,architecture design and development of tools using advanced technologies;
  
• Improve scalability, speed, and performance ofexisting models;
  
• Build Machine learning models for Predictions,Image processing, Natural Language Processing and other related areas;
  
• Create various documentations required as partof implementation;
  
• Ability to meet the timelines set by themanagement on the change requests raised;
  
• Support migration plan and procedures;
  
• Prepare Unit test scripts and execute asrequired;
  
• Design and build web services to integrateOracle PeopleSoft with third party systems in real time;
  
• Develop custom reports and analytics, dashboardsfor the various business requirements;
  

• Bachelor or Master degree;
  
• Degree or certificate in the area of MachineLearning which includes Data Analysis, regression models, deep learning models,NLP and Image processing is required;
  
• +3 years of professional experience in DataScience/Machine Learning is required;
  
• Experience should include all areas of DataScience/Machine Learning like Data Analysis, building models for prediction,NLP, Deep Learning and Image Processing;
  
• Experience of programming languages Like R,Python, MySQL, NodeJS is required;
  
• Knowledge of data base systems is required;
  
• Experience in developing integration using webservices is required;
  
• Experience in deploying models and applicationis cloud infrastructure is required;
  
• Demonstrated experience of defining system testconditions; design test cases and test scripts is required;
  
• Functional knowledge of HR process is desired;
  
• Problem solving, Analytical, programming,debugging, and design skills are desired;
  
• Knowledge of modern machine learning algorithms;
  
• Should be able to work in any area of machinelearning like regression modelling, NLP, Image, Deep Learning;
  
• Fluent in English;
  

Please send your resume and motivation to .

Originally posted on Himalayas