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Senior Machine Learning Engineer

Remote / Online - Candidates ideally in
Kuwait
Listing for: BlackStone eIT
Remote/Work from Home position
Listed on 2025-10-31
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 15000 - 30000 KWD Yearly KWD 15000.00 30000.00 YEAR
Job Description & How to Apply Below

Black Stone 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 Black Stone 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.

Paid Time Off
Work From Home
Performance Bonus
Training & Development

Experience:

3–5 years of proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms. Ability to write robust code in Python. Outstanding analytical and problem‑solving skills. Familiarity with machine learning frameworks (such as Tensor Flow or PyTorch) and libraries (such as 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
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Position Requirements
10+ Years work experience
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