- Experience
- Any
- Salary
- USD 200,000 – USD 500,000 / year
- Openings
- 1
- Posted
- 16 hours ago
- Work mode
- Work from home
- Resume
- Required to apply
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Role Summary
We are recruiting a Machine Learning (AI) Engineer to join a client’s team, working remotely on a full-time basis. The core focus of this role is to develop and deploy sophisticated machine learning models that drive essential product features, collaborating closely with diverse teams to build scalable AI solutions enhancing both user experience and operational efficiency.
Key Responsibilities
- Create, train, and refine machine learning models utilizing Python along with TensorFlow and PyTorch frameworks.
- Design and uphold data pipelines to guarantee excellent model input quality for both training and validation.
- Apply MLOps techniques to facilitate efficient deployment, continuous monitoring, and management of model versions.
- Work alongside data scientists and software developers to embed AI features within live production systems.
- Perform benchmarking and A/B test experiments to assess model effectiveness and its impact on business outcomes.
Required Skills & Qualifications
- Expertise in Python programming and experience with machine learning libraries such as TensorFlow and PyTorch.
- Hands-on experience with MLOps platforms including MLflow, Kubeflow, or SageMaker for managing model deployment and performance tracking.
- Strong knowledge of data preprocessing methods, feature engineering, and evaluation metrics for machine learning models.
- Experience with cloud services such as AWS, Google Cloud Platform, or Microsoft Azure to build scalable AI infrastructures.
- Understanding of software development best practices comprising version control using Git and implementation of CI/CD pipelines.
Additional Information
This position offers a chance to contribute within a leading global software development organization, tackling challenging AI problems in a cooperative setting equipped with advanced tools and extensive datasets.
Equal Opportunity
The employer practices a non-discriminatory hiring approach, welcoming all applicants who demonstrate relevant technical expertise and skills without regard to background or previous roles. Selection decisions are solely based on professional qualifications and merit.
Compensation
Annual remuneration ranges between $200,000 and $500,000.