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About the role
Description : We are looking for an AI/ML Engineer to design, develop, and deploy machine learning models that drive predictive analytics, classification, computer vision, and NLP solutions. You will collaborate with cross-functional teams to turn complex data into actionable insights using state-of-the-art ML frameworks. Key Responsibilities : - Develop, train, and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Keras. - Implement predictive analytics, classification, computer vision, and NLP solutions. - Optimize model performance, accuracy, and scalability in production environments. - Collaborate with data scientists, engineers, and stakeholders to translate business requirements into ML solutions. - Stay updated with emerging AI/ML technologies and apply best practices to model development. Required Qualifications : - Strong proficiency in Python and experience with libraries such as NumPy, Pandas, and Scikit-learn. - Hands-on experience with TensorFlow (preferred) or PyTorch. - Experience with both frameworks is a strong advantage. - Solid understanding of machine learning and deep learning concepts, model evaluation, and deployment processes. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Description : We are looking for an AI/ML Engineer to design, develop, and deploy machine learning models that drive predictive analytics, classification, computer vision, and NLP solutions. You will collaborate with cross-functional teams to turn complex data into actionable insights using state-of-the-art ML frameworks. Key Responsibilities : - Develop, train, and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Keras. - Implement predictive analytics, classification, computer vision, and NLP solutions. - Optimize model performance, accuracy, and scalability in production environments. - Collaborate with data scientists, engineers, and stakeholders to translate business requirements into ML solutions. - Stay updated with emerging AI/ML technologies and apply best practices to model development. Required Qualifications : - Strong proficiency in Python and experience with libraries such as NumPy, Pandas, and Scikit-learn. - Hands-on experience with TensorFlow (preferred) or PyTorch. - Experience with both frameworks is a strong advantage. - Solid understanding of machine learning and deep learning concepts, model evaluation, and deployment processes. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.