Sutherland | Hiring | Machine Learning Engineer | BigDataKB.com | 1/11/2022

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Sutherland

Chennai

Staffing & Outsourcing

Job Description:

Sutherland is seeking an attentive and goal-oriented person to join us as a Machine Learning (ML) Engineer. To help us create artificial intelligence product using NLP and Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your goal will be to shape and build efficient self-learning applications.

If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!

To succeed in this position, you must have 3 – 5 years of experience in developing Windows Desktop applications using the below technologies


Qualifications:


Key Technical Skills:
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and (R added advantage)
  • Familiarity with machine learning frameworks like TensorFlow, Keras or PyTorch and libraries like scikit-learn
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
Roles and Responsibilities:
  • 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

Apply Here

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