Junior Machine Learning Engineer

Remote Position: Junior Machine Learning Engineer (1 Year Experience - US/Canada Residents)

Join our vibrant future! We are building a talent pool for upcoming opportunities. Your skills and experience will be evaluated against our current and future requirements. If there’s a match, we’ll reach out to you. Note that there is no guarantee of immediate placement, and we are only considering applications from US/Canada residents.

Hiring Type: Full-Time

Base Salary: $55K-$76K Per Annum.

Job Summary

As a Junior Machine Learning Engineer at Team Remotely, you will engage in dynamic projects, hone your skills, and contribute to the ideation and implementation of machine learning solutions. This role is perfect for individuals who are passionate about kick-starting their careers in machine learning within a nurturing and teamwork-oriented environment.

Key Responsibilities

• Collaborate with senior engineers and data scientists to grasp project requirements and develop machine learning models and algorithms.
• Assist in the collection, preprocessing, and analysis of data to reveal patterns and insights.
• Implement and enhance machine learning models, algorithms, and pipelines.
• Engage in model evaluation, validation, and performance optimization.
• Contribute to the evolution and enhancement of machine learning infrastructure and frameworks.
• Keep abreast of the latest advancements in machine learning and actively engage in team knowledge-sharing sessions.
• Work with cross-functional teams to deploy machine learning solutions into production systems.
• Document technical methodologies, processes, and outcomes comprehensively.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning principles, algorithms, and statistical methods.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Skilled in data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of deep learning architectures and techniques is a plus.
• Experience with big data processing tools (e.g., Hadoop, Spark) is a bonus.
• Excellent problem-solving skills and ability to handle multiple projects concurrently.
• Strong communication and collaborative skills.
• Self-motivated with a keen interest in continuous learning and growth within the field of machine learning.

If you are enthusiastic about developing your career in machine learning and meet the above qualifications, we would love to hear from you!