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About the role
Job_Description":" Job Summary We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong foundation in Python, machine learning frameworks, and data science libraries. You will be responsible for developing, training, and deploying cutting-edge machine learning models, including applications in NLP, computer vision, and other AI domains. Key Responsibilities Develop and deploy machine learning models into production environments Train and fine-tune models using large and diverse datasets Implement AI techniques such as natural language processing (NLP), computer vision, and deep learning Collaborate with data scientists, ML engineers, and software developers to optimize model performance and scalability Utilize cloud-based AI services for scalable deployment and model management Requirements Required Skills & Qualifications 4+ year in Python and machine learning frameworks like TensorFlow or PyTorch 2+ years experience with data science libraries such as NumPy, Pandas, and Scikit-learn 2+ years experience of supervised, unsupervised, and deep learning techniques Familiarity with cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML) Robust problem-solving skills and ability to work in a rapid-paced workplace Preferred Qualifications Experience with model monitoring and performance tuning in production Exposure to MLOps tools and CI/CD for ML pipelines Understanding of model explainability and ethical AI practices Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Job_Description":" Job Summary We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong foundation in Python, machine learning frameworks, and data science libraries. You will be responsible for developing, training, and deploying cutting-edge machine learning models, including applications in NLP, computer vision, and other AI domains. Key Responsibilities Develop and deploy machine learning models into production environments Train and fine-tune models using large and diverse datasets Implement AI techniques such as natural language processing (NLP), computer vision, and deep learning Collaborate with data scientists, ML engineers, and software developers to optimize model performance and scalability Utilize cloud-based AI services for scalable deployment and model management Requirements Required Skills & Qualifications 4+ year in Python and machine learning frameworks like TensorFlow or PyTorch 2+ years experience with data science libraries such as NumPy, Pandas, and Scikit-learn 2+ years experience of supervised, unsupervised, and deep learning techniques Familiarity with cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML) Robust problem-solving skills and ability to work in a rapid-paced workplace Preferred Qualifications Experience with model monitoring and performance tuning in production Exposure to MLOps tools and CI/CD for ML pipelines Understanding of model explainability and ethical AI practices Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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