Machine Learning Engineer

J-1 Connect Inc.; United States; On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

J-1 Visa sponsorship available for qualified candidates

Gain practical exposure to machine learning workflows

Job summary

J-1 Connect Inc. seeks a Machine Learning Engineer to support the design, development, testing, and optimization of machine learning models. You will analyze datasets, prepare training data, and build predictive models to deliver data-driven solutions.

This role involves refining models, documenting technical processes, and ensuring integration of solutions into applications, providing a great chance to gain exposure to machine learning workflows.

Qualifications

• Strong foundation in programming, data structures, algorithms, statistics, and machine learning concepts.
• Proficiency in Python; experience with SQL, TensorFlow, PyTorch preferred.
• Ability to clean, analyze, and interpret datasets and support model training.

Responsibilities

• Analyze datasets, prepare training data, and build predictive models.
• Refine models and evaluate accuracy, performance, and robustness.
• Document technical processes and model performance.

Skills

Programming

Data structures

Algorithms

Statistics

Machine learning concepts

Problem-solving

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

TensorFlow

PyTorch

SQL

Scikit-learn

Pandas

NumPy

Job description

Job Summary

The Machine Learning Engineer will support the design, development, testing, and optimization of machine learning models and data‑driven solutions. The role includes assisting with data preparation, model training, algorithm evaluation, and performance monitoring under the guidance of experienced technical supervisors. The participant will gain practical exposure to machine learning workflows, software engineering practices, data pipelines, and model deployment processes.

Responsibilities

• Analyze datasets, prepare training data, and build predictive models.
• Refine models and evaluate accuracy, performance, and robustness.
• Document technical processes and model performance.
• Support integration of machine learning solutions into business or engineering applications.
• Assist with data preparation, model training, algorithm evaluation, and monitoring.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related field.
• Strong foundation in programming, data structures, algorithms, statistics, and machine learning concepts.
• Proficiency in Python; experience with SQL, TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy, or similar tools preferred.
• Ability to clean, analyze, interpret datasets, support model training and testing, evaluate performance, and document findings.
• Strong problem‑solving skills, attention to detail, and ability to collaborate with technical and business teams.
• Experience or academic training with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit‑learn, Keras, Pandas, NumPy, or similar tools.
• Familiarity with APIs, Git/GitHub, cloud platforms, databases, data pipelines, or deployment environments is preferred.
• Strong communication skills for documenting findings and explaining model performance.

Benefits & Compensation

Pay Rate will be provided upon selection. J‑1 Visa sponsorship is available for up to 18 months for qualified candidates interested in training in the U.S. at approved host employer locations.