Randstad | machine learning engineer | Bhagya Nagar | Bharat | BigDataKB.com | 2023-03-04

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Job Location: Bhagya Nagar

Job Detail:

summary


  • hyderabad, telangana

  • a client of randstad india

  • permanent
  • reference number

    JPC – 81512

job details
Job Description – Looking for an outstanding Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will have the opportunity to work on the Designing and developing machine learning and deep learning systems ,Running machine learning tests and experiments, Implementing appropriate ML algorithms and much more. We’re a passionate team dedicated to Essential Safety who are building products that help transform people’s lives. With a well-rounded profile, Machine Learning Engineers at Quin have the freedom and flexibility to work on the technologies that truly interest them. We’re looking for people who are excited about safety and technology, and how these together can make a difference in people’s everyday lives. WHAT YOU WILL DO- Push the limits of your own creativity every day Build predictive models and machine-learning algorithms 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 Train and retrain systems when necessary Extend existing ML libraries and frameworks Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills- Bachelor’s or Master’s degree in Computer Science / Machine Learning / Data Science / Mathematics Understanding of machine-learning and operations research Ability to write robust code in Python / R Deep knowledge of mathematics, probability, statistics and algorithms Understanding of data structures, data modeling and software architecture Outstanding analytical and problem-solving skills Understanding of computer architecture Can Quickly prototype ideas, get things done and have the ability to figure out the requirements. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) …
Job Description – Looking for an outstanding Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will have the opportunity to work on the Designing and developing machine learning and deep learning systems ,Running machine learning tests and experiments, Implementing appropriate ML algorithms and much more. We’re a passionate team dedicated to Essential Safety who are building products that help transform people’s lives. With a well-rounded profile, Machine Learning Engineers at Quin have the freedom and flexibility to work on the technologies that truly interest them. We’re looking for people who are excited about safety and technology, and how these together can make a difference in people’s everyday lives. WHAT YOU WILL DO- Push the limits of your own creativity every day Build predictive models and machine-learning algorithms 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 Train and retrain systems when necessary Extend existing ML libraries and frameworks Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills- Bachelor’s or Master’s degree in Computer Science / Machine Learning / Data Science / Mathematics Understanding of machine-learning and operations research Ability to write robust code in Python / R Deep knowledge of mathematics, probability, statistics and algorithms Understanding of data structures, data modeling and software architecture Outstanding analytical and problem-solving skills Understanding of computer architecture Can Quickly prototype ideas, get things done and have the ability to figure out the requirements. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • experience

    12

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