Machine Learning Engineer (Remote)
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Key skills for this role
About the Role
We are hiring a Machine Learning Engineer on a contract basis to design, develop, and deploy ML models. The role involves working with Python, TensorFlow or PyTorch, and cloud platforms like AWS, GCP, or Azure.
Key Skills for This Role
Responsibilities
- Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems
- Collaborate with data scientists and software engineers to deploy models into production environments
- Optimize and fine tune models for scalability, accuracy, and efficiency in real world applications
- Develop and maintain pipelines for data preprocessing, feature engineering, and model training
- Conduct experiments to evaluate model performance and iterate on improvements based on business needs
Requirements
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch
- Strong background in data structures, algorithms, and statistical modeling techniques
- Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling
- Knowledge of SQL and databases for data extraction and preprocessing tasks
- Familiarity with version control systems (e.g., Git) and collaborative development workflows
- Understanding of MLOps practices for model monitoring, logging, and continuous integration
- Experience with hyperparameter tuning and model optimization techniques
- Ability to work independently and manage multiple tasks in a fast paced environment
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis.
- The role involves designing, developing, and deploying machine learning models to solve complex business challenges.
- You will collaborate with cross functional teams to integrate AI solutions into existing systems and optimize model performance.
Key Responsibilities
- Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
- Collaborate with data scientists and software engineers to deploy models into production environments.
- Optimize and fine tune models for scalability, accuracy, and efficiency in real world applications.
- Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
- Conduct experiments to evaluate model performance and iterate on improvements based on business needs.
Required Skills & Qualifications
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
- Strong background in data structures, algorithms, and statistical modeling techniques.
- Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
- Knowledge of SQL and databases for data extraction and preprocessing tasks.
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
- Understanding of MLOps practices for model monitoring, logging, and continuous integration.
- Experience with hyperparameter tuning and model optimization techniques.
- Ability to work independently and manage multiple tasks in a fast paced environment.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the technology industry.
- Contribute to the development of AI driven solutions that enhance operational efficiency and customer experiences.
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