AI/ML Engineer (Remote)
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Key skills for this role
About the Role
We are seeking an AI/ML Engineer to work on a contract basis, contributing to the development of next-generation AI systems. You will design and deploy machine learning models, collaborate with cross-functional teams, and optimize ETL processes.
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 expertise into structured training data and evaluations
- Implement, optimize, and maintain ETL processes for data ingestion and management
- Utilize Python and relevant libraries to create clean, efficient code for machine learning applications
- Monitor, evaluate, and improve accuracy and performance of deployed AI models
Requirements
- Proficiency in Python and machine learning libraries such as scikit learn, TensorFlow, or PyTorch
- Strong understanding of ETL processes and data pipelines
- Experience in developing and optimizing machine learning models
- Ability to collaborate effectively with technical and non technical stakeholders
- Familiarity with data quality assessment and performance monitoring
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contractor basis.
- You will contribute to the development of next generation AI systems by leveraging domain expertise.
- This is a unique opportunity to apply your skills across domains such as finance, healthcare, and engineering.
Key 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, evaluations, and feedback loops.
- Implement, optimize, and maintain ETL processes to ensure 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.
Required Skills & Qualifications
- 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.
More About the Opportunity
- 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.
- Exposure to projects with high societal and industry impact.
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