Machine Learning Engineer
Found in: Jooble US O C2 - 2 weeks ago
This is a remote position.
Machine Learning Engineer (US/Canada Residents Only, 1 year experience, remote) Team Remotely Inc. is a staffing and recruitment agency that offers a comprehensive solution for talent acquisition, including sourcing, vetting, pay rolling, and managing talent. Whether you need contract staffing, direct hire, direct sourcing, talent pools, or diversity initiatives, our model can support your hiring strategy. Hiring Type: Full-Time Base Salary: $64K-$76K Per Annum. Job Summary: As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions. This is an excellent opportunity for individuals looking to kick-start their careers in the field of machine learning and gain valuable experience in a collaborative and supportive environment. Responsibilities:- Collaborate with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms.
- Assist in collecting, preprocessing, and analyzing data to uncover patterns and insights.
- Implement and optimize machine learning models, algorithms, and pipelines.
- Participate in model evaluation, validation, and performance tuning.
- Contribute to the development and improvement of existing machine learning infrastructure and frameworks.
- Stay up-to-date with the latest advancements in machine learning and actively participate in knowledge-sharing activities within the team.
- Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
- Document technical processes, methodologies, and outcomes effectively.
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures and techniques is a plus.
- Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
- Strong problem-solving skills and the ability to work on multiple projects simultaneously.
- Excellent communication and collaboration skills.
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