Alexandria
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60 Alexandria Machine Learning Engineer Jobs Hiring Near You

As a Machine Learning Engineer, you will design, build, and operate the platforms, pipelines, and reusable patterns that take models from experimentation to production at scale. You will work with ...

Machine Learning Engineer Location: Pleasanton, CA 94588 (Remote) Duration: 6 Months Description: Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in ...

Machine Learning Engineer Location: Pleasanton, CA 94588 (Remote) Duration: 6 Months Description: Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in ...

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

New

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Pleasanton, CA/Remote location. Requirements: * Proficiency in ...

Showing results 41-60

Machine Learning Engineer

Premieraerospace

Saint Louis, MO • On-site

Full-time

Posted 13 days ago


Job description

As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to improve our aerospace products and services. You will work closely with a team of engineers and data scientists to analyze large datasets, identify patterns and trends, and develop predictive models to enhance our products and services.

Key Responsibilities:

- Develop and implement machine learning algorithms and models to improve our aerospace products and services

- Work closely with a team of engineers and data scientists to analyze large datasets and identify patterns and trends

- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements

- Design, build, and deploy scalable machine learning solutions

- Monitor and maintain the performance of machine learning models and make necessary adjustments

- Stay up-to-date with the latest advancements in machine learning and incorporate them into our products and services

- Communicate complex technical concepts to non-technical stakeholders

- Participate in code reviews and provide constructive feedback to improve the overall quality of the codebase

- Contribute to the development of best practices and standards for machine learning at Premieraerospace

Requirements:

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

- 2+ years of experience in machine learning, data science, or a related field

- Strong programming skills in languages such as Python, R, or Java

- Experience with machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch

- Proficiency in data manipulation and analysis using SQL and other tools

- Knowledge of data visualization techniques and tools

- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

- Excellent problem-solving and analytical skills

- Strong communication and teamwork abilities

- Ability to work independently and manage multiple projects simultaneously