Machine Learning Engineer (Remote)

Role : Machine Learning Engineer (Remote)

• Location : Remote (Work from Anywhere)
• Job Type : Contract
• Payout : $20 - $90/hour

Role Overview: We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities: • Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems. • Collaborate with data scientists and software engineers to deploy models into production environments. • Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications. • Develop and maintain pipelines for data preprocessing, feature engineering, and model training. • Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Required Skills & Qualifications: • Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch. • Strong background in data structures, algorithms, and statistical modeling techniques. • Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling. • Knowledge of SQL and databases for data extraction and preprocessing tasks. • Familiarity with version control systems (e.g., Git) and collaborative development workflows. • Understanding of MLOps practices for model monitoring, logging, and continuous integration. • Experience with hyperparameter tuning and model optimization techniques. • Ability to work independently and manage multiple tasks in a fast-paced environment.

More About the Opportunity: This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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