This is a remote position.
Junior Machine Learning Engineer - US Only
Experience: 1+ years
Employment Type: Full-time, Remote
Base Salary: $60K-$70K
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.
Qualifications:
- 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.
- Self-motivated with a strong desire to learn and grow in the field of machine learning.
- Collaborate with cross-functional teams to understand software requirements and specifications.
- Participate in the creation and execution of test plans, test cases, and test scripts.
- Identify, document, and track software defects and issues using bug-tracking tools.
- Conduct thorough regression testing to verify fixes and ensure software quality.
- Assist in the development of automated test scripts to improve efficiency.
- Perform exploratory testing to uncover potential issues and usability concerns.
- Work closely with developers to communicate issues and validate bug fixes.
- Provide timely and detailed reports on testing progress and results.
- Contribute to the continuous improvement of QA processes and methodologies.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Strong passion for software quality assurance and a desire to learn and grow.
- Familiarity with software testing concepts, methodologies, and best practices.
- Basic understanding of programming languages and scripting (e.g., Java, Python).
- Excellent analytical and problem-solving skills.
- Detail-oriented with a keen eye for identifying issues and inconsistencies.
- Effective communication skills and ability to work collaboratively in a team environment.
- Experience with testing tools and bug-tracking systems is a plus.
Why Phoenix Recruitment LLC?
Phoenix Recruitment often has an extensive network of employers and candidates. This network allows them to tap into a pool of qualified candidates and connect them with suitable job opportunities. They can also leverage their connections to help employers find the right talent efficiently. Outsourcing the recruitment process to a specialized agency can save you time and resources, avoid delays, reduce administrative burdens, and increase the chances of finding the right fit for your organization.
