Data Science engineer (Remote)
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Key skills for this role
About the Role
A client is seeking a Data Science Engineer on a contract basis to design, build, and deploy machine learning models and data pipelines. The role requires proficiency in Python, machine learning frameworks, and cloud platforms.
Key Skills for This Role
Responsibilities
- Develop and maintain production grade data science models using Python and relevant frameworks
- Design and implement data pipelines to process large scale datasets for model training and inference
- Collaborate with software engineers to integrate models into production systems and APIs
- Optimize models for performance, scalability, and cost efficiency in cloud environments
- Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance
Requirements
- Proficiency in Python with experience in data science libraries such as NumPy, Pandas, and Scikit learn
- Experience with machine learning frameworks including TensorFlow, PyTorch, or similar tools
- Strong background in statistical modeling, regression, classification, and clustering techniques
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop)
- Experience with SQL and database systems for data extraction and transformation
- Ability to write clean, maintainable, and well documented code
- Understanding of MLOps practices, including model deployment and monitoring
- Experience with version control systems such as Git
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis.
- The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions.
Key Responsibilities
- Develop and maintain production grade data science models using Python and relevant frameworks.
- Design and implement data pipelines to process large scale datasets for model training and inference.
- Collaborate with software engineers to integrate models into production systems and APIs.
- Optimize models for performance, scalability, and cost efficiency in cloud environments.
- Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.
Required Skills & Qualifications
- Proficiency in Python with experience in data science libraries such as NumPy, Pandas, and Scikit learn.
- Experience with machine learning frameworks including TensorFlow, PyTorch, or similar tools.
- Strong background in statistical modeling, regression, classification, and clustering techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).
- Experience with SQL and database systems for data extraction and transformation.
- Ability to write clean, maintainable, and well documented code.
- Understanding of MLOps practices, including model deployment and monitoring.
- Experience with version control systems such as Git.
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 the development of cutting edge AI solutions that drive business outcomes.
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