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0 years

4 - 10 Lacs

Posted:3 weeks ago| Platform: GlassDoor logo

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Job Type

Full Time

Job Description

Roles and Responsibilities/ Key Activities : Design, develop, and deploy machine learning models to solve business problems. Understand business requirements and translate them into clear, actionable documents for technical teams. Implement deep learning, reinforcement learning, and natural language processing (NLP) models. Perform data processing tasks, including data collection, delivery, pre-processing, and analyzing large datasets. Work with both structured and unstructured data to build robust AI models. Optimize machine learning algorithms for better performance and scalability. Perform model optimization on existing projects to improve accuracy and efficiency. Test and validate models to ensure they meet the required specifications and performance metrics. Implement APIs and integrate AI models into existing systems and applications. Conduct research on new AI models, techniques, and libraries to stay at the forefront of the field. Provide project estimations and expected time of completion (ETA) to ensure efficient planning and execution. Skills Required : Strong communication skills to effectively collaborate with clients and teams. Excellent problem-solving abilities to address complex challenges and optimize solutions. Proficiency in Python and R programming languages for developing and implementing AI models. In-depth knowledge of Natural Language Processing (NLP) techniques and frameworks. Hands-on experience with TensorFlow , PyTorch , Scikit-learn , and other machine learning libraries. Strong proficiency in data manipulation and analysis using Pandas , Numpy , and Spark . Experience with data visualization tools like Matplotlib for presenting complex data insights. Familiarity with Convolutional Neural Networks (CNNs) and computer vision applications. Knowledge of Generative AI models and techniques. Job Types: Full-time, Permanent Pay: ₹420,000.00 - ₹1,000,000.00 per year Benefits: Paid time off Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

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