Senior Platform ML Engineer [28652]

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

Overview

The Senior Platform ML Engineer at Stealth will play a critical role in designing and implementing machine learning models and systems that drive our innovative and scalable platforms. This position requires collaboration across various teams to ensure the seamless integration of machine learning capabilities, enhancing the overall functionality and efficiency of our products. The ideal candidate will possess a strong foundation in machine learning algorithms and platforms, and will be responsible for deploying models in production environments while ensuring optimal performance and stability.

Job Responsibilities

• Design and implement scalable machine learning solutions to solve complex business problems.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Evaluate and optimize machine learning algorithms for speed and accuracy.
• Monitor and maintain the performance of deployed models and address any issues that arise.
• Create documentation and reports detailing model performance, procedures, and methodologies.
• Lead technical discussions and contribute to the innovation of machine learning practices within the organization.
• Mentor junior engineers and share knowledge on best practices in machine learning and system architecture.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• A minimum of 5 years of professional experience working in machine learning and software engineering.
• Proficiency in Python and familiarity with frameworks such as TensorFlow or PyTorch.
• Strong understanding of machine learning algorithms, statistical modeling, and data science principles.
• Experience with cloud platforms, particularly AWS, GCP, or Azure.
• Ability to work with large data sets and proficiency in SQL and data preprocessing techniques.
• Strong communication skills and the ability to collaborate effectively in a team-oriented environment.

Technologies & Tools

In this position, the Senior Platform ML Engineer will utilize a variety of technologies and tools, including but not limited to Python for developing machine learning models, TensorFlow and PyTorch for deep learning frameworks, SQL for data manipulation and query purposes, and AWS or similar cloud services for deployment and scaling of applications. Additionally, proficiency in software development methodologies and tools such as Git for version control is essential.

Ideal Candidates

The ideal candidate for the Senior Platform ML Engineer role possesses a proactive and analytical mindset, with a passion for continuous learning and improvement in the rapidly evolving field of machine learning. They are expected to be innovative problem solvers who can think critically under pressure. Strong communication skills are also essential, allowing them to effectively convey complex concepts to technical and non-technical stakeholders alike. A collaborative spirit and a commitment to team success will ensure their effectiveness in this role.