Senior Machine Learning Engineer
1 week ago
About the RoleThis position involves leveraging machine learning algorithms to drive business growth and improvement. We're looking for a skilled professional with expertise in designing, building, deploying, and optimizing ML/AI solutions.As a Machine Learning Engineer, you will be responsible for:Building, training, and evaluating machine learning models to drive business insights and optimize processes;Developing custom models or adapting pre-trained models to meet specific business needs;Conducting feature engineering, feature selection, and data transformation to improve model performance;Evaluating model performance using appropriate metrics and making recommendations for improvement;Collaborating with cross-functional teams to integrate ML solutions into business workflows and drive adoption.Main ResponsibilitiesDesign, build, deploy, and maintain machine learning models to drive business outcomes;Develop and implement data pipelines to support ML model development and deployment;Conduct hyperparameter tuning and experimentation to optimize model performance;Evaluate model performance and make recommendations for improvement;Collaborate with cross-functional teams to integrate ML solutions into business workflows and drive adoption.RequirementsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field;Strong Python skills and experience with popular ML libraries such as NumPy, Pandas, Scikit-learn, PyTorch, or TensorFlow;Experience with deep learning frameworks and techniques, including CNNs, RNNs, and Transformers;Knowledge of LLMs, embeddings, and tokenizer concepts;Hands-on experience with REST APIs, microservices, and cloud-native deployment;Familiarity with SQL, NoSQL, and data warehouses.Preferred QualificationsExperience building ML products end-to-end;Contributions to open-source ML frameworks;Experience in domains like FinTech, Healthcare, Retail, Manufacturing, or Real Estate;Master's or Ph.D. in Computer Science, Engineering, Mathematics, or related field.We OfferA dynamic and inclusive work environment that fosters innovation, creativity, and collaboration. Our team is passionate about driving business growth and improvement through the application of machine learning and AI.Why Join Us?Opportunity to work on cutting-edge ML projects and develop new skills;Collaborative and dynamic work environment;Competitive compensation and benefits package;Professional development opportunities and mentorship.About Our CompanyWe are a company dedicated to promoting diversity, equity, and inclusion in our hiring practices and workplace culture. We strive to create a work environment where everyone feels valued, respected, and empowered to contribute their best work.
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