L2- ML Engineer (SaaS Focus)

Wonder Worth Solutions


Date: 1 week ago
City: Vellore, Tamil Nadu
Contract type: Full time
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 [email protected] / 9047477375.

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