Machine Learning Engineer (Remote)

Quik Hire Staffing; Deutschland; Remote; EUR 65.000 - 100.000; Vollzeit

Zusammenfassung

Quik Hire Staffing is assisting a client in finding a Machine Learning Engineer for a full-time remote role. The candidate will design, develop, and deploy ML models, collaborating with data scientists and software engineers to integrate AI into existing systems.

The role emphasizes Python proficiency, ML frameworks (TensorFlow or PyTorch), cloud deployment, and MLOps practices to monitor and scale models in production environments. Strong problem-solving and independence are required.

Qualifikationen

• Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
• Strong foundation in data structures, algorithms, and statistics.
• Experience deploying ML models on cloud platforms (AWS, GCP, or Azure).
• Knowledge of SQL for data extraction and preprocessing.
• Familiarity with version control (Git) and CI/CD workflows.
• Understanding of MLOps for monitoring, logging, and automation.
• Experience with hyperparameter tuning and model optimization.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

Aufgaben

• Design and implement machine learning models using Python and frameworks.
• Collaborate with data scientists and engineers to deploy models to production.
• Optimize models for scalability, accuracy, and efficiency.
• Develop data preprocessing, feature engineering, and training pipelines.
• Conduct experiments to evaluate model performance and iterate improvements.

Kenntnisse

Python

Data structures and algorithms

Statistical modeling

ML tooling & best practices

Independent work

Cloud platforms

SQL

Git & collaboration

MLOps

Hyperparameter tuning

Tools

TensorFlow

PyTorch

Jobbeschreibung

• Location: Remote (Work from Anywhere)

Role Overview

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a full-time 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.