Summary:
We are seeking an experienced ML Engineer with a strong understanding of SaaS products to join our team. You will be responsible for developing, deploying, and maintaining machine learning models that enhance our SaaS platform. This role requires a blend of machine learning expertise, software engineering skills, and a solid understanding of SaaS architecture.
Responsibilities:
- Develop and implement machine learning models for SaaS product features.
- Integrate ML models into existing SaaS infrastructure.
- Monitor and maintain deployed ML models, ensuring performance and reliability.
- Collaborate with product managers and software engineers to define and implement ML-driven features.
- Conduct data analysis and feature engineering to improve model accuracy.
- Stay up-to-date 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.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on innovative ML solutions for a SaaS platform.
- Collaborative and supportive work environment.
- Continuous learning and professional development opportunities.
Contact us on recruiter@wonderws.com / 9047477375.
