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Job Description
Gegnat Yards, recipient of the prestigious Global Staffing 2024 award, excels in connecting top-tier professionals with opportunities in leading organizations. Recognized as a reliable recruitment agency, Gegnat Yards specializes in identifying and placing the best talent for its clients. By providing an extended candidate network beyond traditional methods, the company ensures employers save time and access highly qualified candidates effectively. With comprehensive market analysis and strategic planning, Gegnat Yards stands as a trusted partner for talent acquisition needs.
Role DescriptionAs a Senior Machine Learning Engineer, you will design, develop, and optimize machine learning algorithms and models to address complex business challenges. You will collaborate with cross-functional teams to implement scalable machine learning solutions, conduct research on advanced techniques, and evaluate model performance. This is a full-time, on-site role located in Katol, requiring close collaboration with teams for implementation and innovation.
Qualifications- Strong expertise in Machine Learning concepts, including Pattern Recognition and Neural Networks
- Proficiency in Computer Science fundamentals and advanced knowledge of Algorithms
- In-depth understanding of Statistics and ability to apply statistical techniques to real-world problems
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- Experience with problem-solving in large data sets and applying machine learning techniques to derive business insights
- Bachelors or Masters degree in Computer Science, Data Science, or a related field
- Excellent programming skills in relevant languages and familiarity with machine learning frameworks
- Strong analytical, collaboration, and communication skills
Skills
Data ScienceImplementationMachine LearningMarket AnalysisIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
02 Mar 26, 03:14 PM IST
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