- Role
: Data Science engineer (Remote)
- Location
: Remote (Work from Anywhere)
- Job
Type
: Contract
- Payout
: Competitive, based on experience

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.

More About the Opportunity:

This role offers a unique opportunity to work with a integral leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportu

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