Hiring For Machine Learning Engineer

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AWS Azure or Google Cloud. Python R SQL Pytorch Company Profile: www.rhysley.com Brand Online Site: https://www.mehar.com/india Position Profile: Hiring For Machine Learning Engineer Title: Machine Learning Engineer Company Name: Rhysley Private Limited Company Website: www.rhysley.com Location: Plot No - 700AA, SRS Tower, Sector 31, Faridabad - 121003 Working Days: 6 Days Position Overview: We are seeking a skilled and passionate Machine Learning Engineer to join our team. The ideal candidate will have a strong background in data science, machine learning, and programming, with the ability to design, implement, and optimize machine learning systems. You will play a crucial role in developing innovative solutions, conducting experiments, and contributing to the advancement of our AI-driven initiatives. Key Responsibilities: Study and transform data science prototypes into production-ready systems. Design, develop, and deploy machine learning systems tailored to business needs. Research and implement appropriate ML algorithms, models, and tools. Develop end-to-end machine learning applications according to project requirements. Select suitable datasets and data representation methods to optimize performance. Conduct rigorous machine learning tests, experiments, and performance evaluations. Perform statistical analysis, interpret test results, and fine-tune models for accuracy and efficiency. Train, retrain, and maintain machine learning systems to ensure consistent performance. Extend existing ML libraries and frameworks to meet project-specific demands. Stay updated on the latest advancements and trends in machine learning and artificial intelligence. Requirements: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience in developing and implementing machine learning solutions. Proficiency in programming languages such as Python, R, or Java. Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing, feature engineering, and data visualization techniques. Experience with statistical analysis and evaluation metrics. Solid knowledge of algorithms, neural networks, and natural language processing (NLP) is a plus. Problem-solving aptitude with the ability to analyze and interpret complex data. Excellent communication and teamwork skills. Preferred Qualifications: Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of big data tools such as Spark or Hadoop. Familiarity with version control systems like Git and CI/CD pipelines.

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