Machine Learning Engineer | Remote

Position: AI/ML Engineer Type: Contract Compensation: $30 - $130/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities Design, develop, and deploy machine learning models to address complex business challenges. Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions. Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management. Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications. Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models. Document processes, methodologies, and model decisions to ensure transparency and reproducibility. Requirements Have expert-level proficiency in machine learning techniques and algorithms. Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn. Have hands-on experience designing and managing ETL workflows in production environments. Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics. Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings. Application Process Easy Apply on LinkedIn Check email for next steps Participate in resume evaluation & interview stage

The role involves designing, developing, and deploying machine learning models to solve complex business challenges. Additionally, the engineer will collaborate with teams to gather requirements and implement efficient ETL processes.

Candidates must have expert-level proficiency in machine learning techniques and advanced programming skills in Python. Hands-on experience with ETL workflows and a strong understanding of data preprocessing and model evaluation metrics are also required.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Python
• ETL
• Data Preprocessing
• Feature Engineering
• Model Evaluation
• Collaboration
• Data Pipelines
• AI Solutions
• NumPy
• Pandas
• Scikit-learn
• Model Optimization
• Documentation
• Code Efficiency
• Business Challenges

• Technology
• Engineering
• Data & Analytics
• Software
• Consulting

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate

Mode de candidature

La candidature directe est offerte