Machine Learning Engineer - Computer Vision (Remote)
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Key skills for this role
About the Role
We are hiring a Machine Learning Engineer to design, build, and deploy AI models. The role involves developing scalable ML pipelines, collaborating with cross-functional teams, and optimizing model performance.
Key Skills for This Role
Responsibilities
- Design, train, and deploy machine learning models to solve complex business problems
- Develop and maintain scalable ML pipelines for end to end model lifecycle management
- Collaborate with data engineers and software developers to integrate models into production systems
- Monitor model performance, troubleshoot issues, and implement improvements
- Ensure compliance with data governance and security standards in model development
Requirements
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience with data preprocessing, feature engineering, and model evaluation
- Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment
- Familiarity with MLOps practices and CI/CD pipelines for model deployment
- Strong problem solving skills and ability to work in a fast paced environment
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions.
- The role involves developing scalable machine learning pipelines and collaborating with cross functional teams to integrate models into production systems.
- Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.
Key Responsibilities
- Design, train, and deploy machine learning models to solve complex business problems.
- Develop and maintain scalable ML pipelines for end to end model lifecycle management.
- Collaborate with data engineers and software developers to integrate models into production systems.
- Monitor model performance, troubleshoot issues, and implement improvements.
- Ensure compliance with data governance and security standards in model development.
Required Skills & Qualifications
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
- Familiarity with MLOps practices and CI/CD pipelines for model deployment.
- Strong problem solving skills and ability to work in a fast paced environment.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry.
- Contributing to cutting edge AI solutions that enhance operational efficiency.
- The contract includes flexibility to work across time zones and access to advanced tools for model development.
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