- 经验
- 任何
- 薪水
- USD 200,000 – USD 500,000 / year
- 职位空缺
- 1
- 发布
- 6小时前
- 工作模式
- 在家办公
- 恢复
- 需要申请
职位描述
Position Summary
We are seeking a skilled AI/ML Engineer to join a client team focused on creating and deploying machine learning models that drive essential product features. The role requires working closely with diverse teams to design scalable AI solutions aimed at improving user interaction and operational effectiveness.
Core Responsibilities
- Create, train, and refine machine learning models utilizing Python, TensorFlow, and PyTorch frameworks.
- Build and maintain robust data pipelines to guarantee high-quality data for training and assessing models.
- Apply MLOps methodologies to streamline the deployment, monitoring, and versioning of models.
- Collaborate with data scientists and developers to embed AI functionalities into live systems.
- Perform performance benchmarks and A/B testing to assess model accuracy and business value.
Required Qualifications and Skills
- Strong command of Python, TensorFlow, and PyTorch for designing and training models.
- Experience with MLOps solutions such as MLflow, Kubeflow, or AWS SageMaker for model deployment and monitoring.
- Expertise in data preprocessing, feature engineering, and evaluating model metrics.
- Familiarity with cloud platforms including AWS, Google Cloud Platform, or Microsoft Azure to support scalable AI infrastructure.
- Knowledge of software engineering best practices such as version control (Git) and continuous integration/continuous deployment pipelines.
Additional Information
This opportunity allows professionals to contribute to a leading software development company by tackling complex challenges in AI-driven product innovation. The role offers an environment of collaboration with access to state-of-the-art tools and extensive datasets.
Equal Employment Opportunity
The employer is committed to hiring based solely on skills and expertise, welcoming all qualified applicants irrespective of background, experience, or employment history. Selection is made purely on demonstrated technical competence and qualifications.