5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Job Type

Full Time

Job Description

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning models, not just utilizing APIs or pre-built models. - Proficiency in machine learning frameworks like TensorFlow, PyTorch, Keras, or similar. - Strong programming skills in Python, including experience with libraries such as NumPy, pandas, scikit-learn, and others. - Experience in training and fine-tuning machine learning models using authentic datasets. - Knowledge of machine learning algorithms, model evaluation, and feature engineering. - Hands-on experience in data preprocessing, model optimization, and hyperparameter tuning. - Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is advantageous. Responsibilities: - Design, create, and deploy customized machine learning models tailored to specific business challenges. - Train, optimize, and validate machine learning models using real-world data sets and advanced methodologies. - Collaborate with interdisciplinary teams to comprehend requirements and provide AI-driven solutions. - Establish and manage end-to-end machine learning pipelines from data preprocessing to model deployment. - Continuously enhance the performance, scalability, and reliability of AI models in production settings. - Conduct model evaluations and determine the most efficient models for practical applications. - Ensure thorough documentation of model development processes and outcomes. - Stay updated on industry trends, algorithms, and emerging technologies in the realm of machine learning and AI.,

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