ML Engineer (AWS Cloud)

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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 highly skilled and motivated Machine Learning Engineer specializing in AWS Cloud technologies. The successful candidate will be instrumental in designing, developing, and deploying scalable machine learning models and applications hosted in the AWS environment. This role requires a deep understanding of both machine learning principles and cloud infrastructure, as you will work collaboratively with data scientists, software engineers, and product teams to create innovative solutions that enhance our business capabilities and deliver value to our clients.

Job Responsibilities

• Design and implement machine learning models and workflows using AWS services such as SageMaker, Lambda, and EC2.
• Collaborate with data engineering teams to preprocess and curate datasets suitable for training and evaluation.
• Deploy machine learning models into production environments, ensuring robustness, scalability, and maintainability.
• Monitor and optimize the performance of deployed models, using tools to track their efficiency and effectiveness.
• Stay current with industry trends and advancements in machine learning, AI, and AWS cloud services.
• Document processes, models, and findings to facilitate knowledge transfer and team accessibility.
• Participate in code reviews and contribute to team learning sessions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of successful projects.
• Hands-on experience with AWS cloud services and tools, particularly SageMaker, S3, and Lambda.
• Strong proficiency in programming languages such as Python and familiarity with machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of algorithms, data structures, and statistical analysis.
• Excellent problem-solving skills and ability to work in a fast-paced, team-oriented environment.

Technologies & Tools

The Machine Learning Engineer at WalkWater Technologies will primarily work with AWS cloud technologies, including but not limited to AWS SageMaker for model training and deployment, Amazon S3 for data storage, AWS Lambda for serverless computing, and various machine learning libraries and frameworks such as TensorFlow and PyTorch. Proficiency in database management systems, such as PostgreSQL or MongoDB, may also be necessary depending on project requirements.

Ideal Candidates

The ideal candidate for the Machine Learning Engineer position will possess a unique blend of technical expertise and interpersonal skills. They should be analytical thinkers with a strong attention to detail, able to work collaboratively within diverse teams, and demonstrate resilience in the face of challenges. A passion for continuous learning and innovation in the field of machine learning and cloud computing will be essential for success in this role and for aligning with WalkWater Technologies' mission to deliver cutting-edge solutions to clients.