Machine Learning Engineer (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Machine Learning Engineer on a contract basis for one of its clients. The role involves designing, developing, and deploying machine learning models using Python, TensorFlow, or PyTorch.
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.
- 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.
- Collaborate with data scientists and software engineers to deploy models into production.
- Optimize and fine tune models for scalability, accuracy, and efficiency.
- Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
- Conduct experiments to evaluate model performance and iterate on improvements.
Required Skills & Qualifications
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Strong background in data structures, algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, Google Cloud, or Azure).
- Knowledge of SQL and databases.
- Familiarity with version control systems (e.g., Git).
- Understanding of MLOps practices.
- Experience with hyperparameter tuning and model optimization.
- Ability to work independently and manage multiple tasks.
Compensation
- Payout: $20 $90/hour.
Work Schedule
- Contract basis.
- Remote (Work from Anywhere).
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