3 Neural Networks jobs in Kuwait

Senior Machine Learning Engineer

BlackStone eIT

Posted 10 days ago

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Job Description

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3 weeks ago Be among the first 25 applicants

BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

  • Experience: 3-5 years
  • 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
  • Outstanding analytical and problem-solving skills
  • Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus

Responsibilities

  • Study and transform data science prototypes
  • 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
  • Deploy the trained models and build REST APIs
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Study project Requirements
  • write technical details at BRDs
  • Keep abreast of developments in the field

Benefits

  • Paid Time Off
  • Work From Home
  • Performance Bonus
  • Training & Development

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries IT Services and IT Consulting

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Senior Machine Learning Engineer

Kuwait City, Al Kuwayt BlackStone eIT

Posted 9 days ago

Job Viewed

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Job Description

3 weeks ago Be among the first 25 applicants BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms. You will work closely with cross-functional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

Experience: 3-5 years 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 Outstanding analytical and problem-solving skills Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus

Responsibilities

Study and transform data science prototypes 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 Deploy the trained models and build REST APIs Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Study project Requirements write technical details at BRDs Keep abreast of developments in the field

Benefits

Paid Time Off Work From Home Performance Bonus Training & Development

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BlackStone eIT by 2x Get notified about new Senior Machine Learning Engineer jobs in

Kuwait . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer - Tech Kinect

Kuwait City, Al Kuwayt Talent Pal

Posted today

Job Viewed

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Job Description

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals.
- Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.
- Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.

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