Artificial Intelligence Machine Learning Engineer (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring for a client seeking an AI/ML Engineer on a contract basis to develop next-generation AI systems. The role involves designing and deploying machine learning models, collaborating with cross-functional teams, and optimizing data pipelines using Python.
Key Skills for This Role
Responsibilities
- Design, develop, and deploy machine learning models to address complex business and technical challenges
- Collaborate with cross functional teams to translate domain specific expertise into structured training data and feedback loops
- Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for machine learning applications and data pipelines
- Continuously monitor, evaluate, and improve the accuracy and performance of deployed AI models
Requirements
- Proficiency in Python and familiarity with machine learning libraries such as scikit learn, TensorFlow, or PyTorch
- Strong understanding of ETL processes, data pipelines, and tools for data ingestion, transformation, and management
- Experience in developing and optimizing machine learning models, including feature engineering, model training, and evaluation
- Ability to collaborate effectively with technical and non technical stakeholders
- Familiarity with data quality assessment, performance monitoring, and iterative improvement of AI models in production
Full Job Posting
Role Overview
- AI/ML Engineer contractor role for a client of Hire Feed
- Remote position with payout $30 $130/hour
- Contribute to development of next generation AI systems by leveraging domain expertise
Key Responsibilities
- Design, develop, and deploy machine learning models to address complex business and technical challenges in alignment with AI system requirements
- Collaborate with cross functional teams to translate domain specific expertise into structured training data, evaluations, and feedback loops
- Implement, optimize, and maintain ETL processes to ensure efficient data ingestion, transformation, and management for AI model training
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for machine learning applications and data pipelines
- Continuously monitor, evaluate, and improve the accuracy and performance of deployed AI models through rigorous testing and iterative refinement
Required Skills & Qualifications
- Proficiency in Python and familiarity with machine learning libraries such as scikit learn, TensorFlow, or PyTorch, with experience in model development and deployment
- Strong understanding of ETL processes, data pipelines, and tools for data ingestion, transformation, and management in AI applications
- Experience in developing and optimizing machine learning models, including feature engineering, model training, and evaluation
- Ability to collaborate effectively with technical and non technical stakeholders to translate domain knowledge into actionable AI inputs
- Familiarity with data quality assessment, performance monitoring, and iterative improvement of AI models in production environments
More About the Opportunity
- Distinctive opportunity to work within a global network of experts contributing to the human intelligence layer for AI
- Engage with cutting edge reinforcement learning environments and advanced evaluation frameworks
- Platform’s AI powered recruitment system ensures high quality, scalable workflow
- Exposure to projects with high societal and industry impact
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