Job
Description
Role Overview: As a Data Science Engineer at our company, you will play a crucial role in developing cutting-edge machine learning solutions to address complex challenges. Your responsibilities will focus on designing, implementing, and deploying machine learning models and algorithms. Collaboration with cross-functional teams is essential to identify AI/ML opportunities, create prototypes, and operationalize solutions. We are looking for someone with a solid background in machine learning algorithms, strong programming skills, and proficiency in handling large datasets. Key Responsibilities: - Research, design, and implement machine learning models and algorithms for solving business problems. - Develop and train models using various techniques like supervised and unsupervised learning, deep learning, NLP, and computer vision. - Conduct data pre-processing, feature engineering, and model evaluation. - Optimize models for improved performance, scalability, and efficiency. - Analyze large datasets to extract valuable insights and patterns. - Collaborate with data engineers to ensure data quality, availability, and consistency. - Perform exploratory data analysis to comprehend data characteristics and support modeling decisions. - Deploy machine learning models in production environments with a focus on scalability and reliability. - Create APIs and integrations to facilitate seamless interactions between models and other systems. - Monitor model performance, diagnose issues, and implement enhancements. - Stay updated on the latest AI/ML technologies and research to drive innovation. - Experiment with new algorithms, frameworks, and tools to enhance model performance. - Collaborate with various stakeholders to define project requirements and deliver solutions. - Communicate technical concepts effectively to non-technical audiences. - Participate in Agile development processes including sprint planning, reviews, and retrospectives. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field (Master's or Ph.D. preferred). - Proven experience in developing and deploying machine learning models in a production environment. - Strong programming skills in Python, R, or Java. - Proficiency with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn. - Experience in data pre-processing, feature engineering, and model evaluation. - Solid understanding of machine learning algorithms and techniques. - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. - Familiarity with version control systems (Git) and Agile methodologies. - Excellent problem-solving skills, creativity, and strong communication abilities. Please note that the additional details of the company were not provided in the job description.,
