Data Science engineer (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Data Science Engineer for a contract role to design, build, and deploy machine learning models and data pipelines. Requires proficiency in Python, ML frameworks, cloud platforms, and MLOps practices.
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.
- You will collaborate with cross functional teams to translate business requirements into technical 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.
Payout
- Competitive, based on experience
Work Arrangement
- Remote (Work from Anywhere)
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