- Experience
- 4+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 小时前
- Work mode
- Work from home
- Education
- Bachelor's or Master's degree in relevant quantitative fields
- Eligibility
- All skilled and qualified professionals are encouraged to apply irrespective of background or prior employment history, as selection is based strictly on technical ability and qualifications.
- Resume
- Required to apply
Job description
Position Summary
We seek a skilled Machine Learning Engineer specializing in computer vision to join a pioneering AI research client. This full-time remote role involves leading the full lifecycle of machine learning projects, from initial data processing to deployment and ongoing system monitoring. The engineer will also provide technical guidance to team members and ensure that ML solutions align closely with strategic business objectives.
Key Responsibilities
- Manage the entire machine learning pipeline including data preparation, model architecture design, deployment mechanisms, and monitoring systems.
- Convert business challenges into robust and scalable ML model designs that accurately reflect the intended business logic and context.
- Work collaboratively with diverse teams including product development, engineering, and business units to clearly define problems and success criteria.
- Implement and refine models to maximize accuracy, computational efficiency, and scalability by leveraging the latest AI/ML methodologies.
- Maintain up-to-date knowledge of AI research trends and integrate innovative techniques to enhance machine learning outcomes.
Required Qualifications
- Possession of a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, statistics, or closely related quantitative disciplines.
- A minimum of four years practical experience in data science and machine learning development roles.
- Demonstrated expertise in supervised and unsupervised learning paradigms, natural language processing, and time-series forecasting.
- Proficiency with Python tools and libraries such as pandas, numpy, scikit-learn, PyTorch, and Keras.
- Solid experience with data preprocessing techniques, feature engineering, and model optimization procedures.
Opportunity Highlights
This role provides the chance to contribute to a globally recognized leader in AI research, applying cutting-edge innovations to create proprietary intelligence systems that deliver tangible business value. The position offers involvement in diverse industry applications and the application of state-of-the-art AI methodologies.
Equal Employment Opportunity Statement
Selection is based solely on individual skills and qualifications. The company embraces diversity and inclusivity and welcomes all applicants regardless of background or previous employment.