ML Engineer (AWS Cloud)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by WalkWater Technologies, so some details may not match this job. The employer's own page has the real description.

Job Overview

WalkWater Technologies is seeking a skilled Machine Learning Engineer with expertise in AWS Cloud to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and optimizing machine learning models and solutions, leveraging AWS cloud services to enhance data processing and predictive capabilities. This role requires collaboration with cross-functional teams to drive data-driven decision-making and ensure scalable and efficient machine learning operations within our cloud infrastructure.

Job Responsibilities

• Design, develop, and deploy machine learning models and algorithms on AWS cloud platforms.
• Collaborate with data scientists, analysts, and software engineers to understand business requirements and translate them into technical solutions.
• Optimize existing machine learning models for performance, scalability, and robustness in a cloud environment.
• Integrate machine learning applications with cloud-based infrastructure and services.
• Monitor and maintain deployed models, ensuring reliability, accuracy, and optimal performance.
• Document processes, model architectures, and maintain version control of code and artifacts.
• Stay updated with the latest trends and advancements in machine learning and cloud technologies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
• Proven experience as a Machine Learning Engineer with a focus on AWS cloud services.
• Strong proficiency in programming languages such as Python, Java, or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with AWS services such as S3, EC2, SageMaker, and Lambda.
• Solid understanding of data preprocessing, feature engineering, and model deployment strategies.
• Experience with databases (SQL and NoSQL) and big data technologies (e.g., Apache Spark).
• Excellent problem-solving abilities and analytical thinking skills.

Technologies & Tools

The Machine Learning Engineer will work with a diverse set of technologies and tools including AWS services such as S3, EC2, and SageMaker. Knowledge of machine learning frameworks, such as TensorFlow and PyTorch, is essential for the development and optimization of models. Proficiency in programming languages, particularly Python or Java, alongside tools for data analytics and visualization, are critical in carrying out the responsibilities effectively.

Ideal Candidates

The ideal candidate for this position will exhibit a strong passion for technology and innovation, showcasing a proactive attitude towards problem-solving and continuous learning. They will possess excellent interpersonal skills, allowing effective collaboration across various teams. A commitment to best practices in software development and machine learning ethics will distinguish them as a leading candidate for this role.