
Machine Learning Systems Engineer
2 days ago
We are seeking a seasoned professional to design and implement robust machine learning infrastructure that scales with our clients' needs. As an MLOps Engineer, you will play a critical role in turning offline models into production-ready systems.
The ideal candidate will have extensive experience in Machine Learning Operations, data pipelines, and engineering infrastructure. A strong background in software engineering rigor and best practices, including CI/CD and automation, is essential.
This position involves collaboration with cross-functional teams to build requirements, track progress, and communicate results to clients.
Required Skills and Qualifications- University Degree in Computer Science, Information Technology, or related field
- 5+ years of experience in the Machine Learning Operations role
- Strong analytic skills related to working with structured, semi-structured, and unstructured datasets
- Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction
This role offers a unique opportunity to work with clients across various industries, applying your expertise to drive business outcomes.
What We OfferAs a valued member of our team, you can expect:
- A dynamic work environment with opportunities for growth and development
- A competitive compensation package
- A collaborative and supportive team culture
We are committed to creating a diverse and inclusive workplace where everyone has the opportunity to thrive. If you are a motivated and experienced professional looking to take your career to the next level, we encourage you to apply.
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