Job
Description
As an ML Engineer at the company, your role will involve developing, deploying, and maintaining machine learning models to enhance the SaaS platform. You will need a combination of machine learning expertise, software engineering skills, and a solid understanding of SaaS architecture. **Key Responsibilities:** - Develop and implement machine learning models for SaaS product features. - Integrate ML models into existing SaaS infrastructure. - Monitor and maintain deployed ML models for performance and reliability. - Collaborate with product managers and software engineers to implement ML-driven features. - Conduct data analysis and feature engineering to enhance model accuracy. - Stay updated with the latest advancements in machine learning and SaaS technologies. - Troubleshoot and debug issues related to ML models in a SaaS environment. - Document ML model development, deployment, and maintenance processes. **Qualifications:** - Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field. - 1+ years of experience as an ML Engineer or in a similar role. - Experience working with SaaS products and architectures. - Strong understanding of machine learning algorithms and techniques. - Proficiency in programming languages such as Python. - Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services. - Basic knowledge of database systems and data processing. - Excellent problem-solving and debugging skills. - Strong communication and teamwork skills. If this opportunity aligns with your expertise and career goals, please reach out to the company at recruiter@wonderws.com / 9047477375. As an ML Engineer at the company, your role will involve developing, deploying, and maintaining machine learning models to enhance the SaaS platform. You will need a combination of machine learning expertise, software engineering skills, and a solid understanding of SaaS architecture. **Key Responsibilities:** - Develop and implement machine learning models for SaaS product features. - Integrate ML models into existing SaaS infrastructure. - Monitor and maintain deployed ML models for performance and reliability. - Collaborate with product managers and software engineers to implement ML-driven features. - Conduct data analysis and feature engineering to enhance model accuracy. - Stay updated with the latest advancements in machine learning and SaaS technologies. - Troubleshoot and debug issues related to ML models in a SaaS environment. - Document ML model development, deployment, and maintenance processes. **Qualifications:** - Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field. - 1+ years of experience as an ML Engineer or in a similar role. - Experience working with SaaS products and architectures. - Strong understanding of machine learning algorithms and techniques. - Proficiency in programming languages such as Python. - Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services. - Basic knowledge of database systems and data processing. - Excellent problem-solving and debugging skills. - Strong communication and teamwork skills. If this opportunity aligns with your expertise and career goals, please reach out to the company at recruiter@wonderws.com / 9047477375.
