Machine Learning Engineer

Webologix Ltd/ INC; United States; In loco; USD 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Webologix Ltd/ INC is seeking a motivated Machine Learning Engineer in the United States to apply ML/AI techniques to real-world projects. You will develop, train, evaluate, and optimize models while collaborating with engineering and data science teams to deliver scalable, data-driven solutions.

The ideal candidate has a Master’s degree and up to 3 years of hands-on experience, proficient Python, and experience with Scikit-learn, Pandas, NumPy, and ML frameworks such as TensorFlow or PyTorch.

Competenze

• Master’s degree in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or a closely related field.
• 0–3 years of relevant experience, including internships and projects.
• Strong proficiency in Python.
• Understanding of supervised and unsupervised learning algorithms.
• Hands-on familiarity with Scikit-learn, Pandas, NumPy, and TensorFlow or PyTorch.
• Knowledge of data preprocessing, feature engineering, statistics, and model evaluation.
• Familiarity with SQL and database fundamentals.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.

Mansioni

• Design, develop, train, and evaluate machine learning models for practical applications.
• Perform data preprocessing, cleaning, feature engineering, and exploratory data analysis.
• Implement machine learning algorithms using Python and relevant ML frameworks.
• Evaluate model performance and optimize algorithms for accuracy, efficiency, and scalability.
• Assist in developing and maintaining machine learning pipelines and workflows.
• Collaborate with data scientists, software engineers, and other stakeholders to deliver AI-driven solutions.
• Support the integration and deployment of machine learning models into applications.
• Document experiments, methodologies, model performance, and technical findings.
• Research emerging machine learning techniques and contribute to continuous improvement initiatives.

Conoscenze

Python

Machine Learning

Data Analysis

Communication

Teamwork

SQL

Formazione

Master’s degree

Strumenti

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

SQL

Descrizione del lavoro

About the Role

We are seeking a motivated and technically proficient Machine Learning Engineer to join our growing team in the United States. This opportunity is ideal for recent graduates and early-career professionals with a strong academic background in machine learning, artificial intelligence, and computer science who are looking to apply their knowledge to real-world projects.

The selected candidate will contribute to developing, training, evaluating, and optimizing machine learning models while collaborating with engineering and data science teams to build scalable, data-driven solutions.

Key Responsibilities

• Design, develop, train, and evaluate machine learning models for practical applications.
• Perform data preprocessing, cleaning, feature engineering, and exploratory data analysis.
• Implement machine learning algorithms using Python and relevant ML frameworks.
• Evaluate model performance and optimize algorithms for accuracy, efficiency, and scalability.
• Assist in developing and maintaining machine learning pipelines and workflows.
• Collaborate with data scientists, software engineers, and other stakeholders to deliver AI-driven solutions.
• Support the integration and deployment of machine learning models into applications.
• Document experiments, methodologies, model performance, and technical findings.
• Research emerging machine learning techniques and contribute to continuous improvement initiatives.

Required Qualifications

• Master’s degree is mandatory in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a closely related technical field.
• 0–3 years of relevant professional experience, including internships and hands-on academic or industry projects.
• Strong proficiency in Python programming.
• Understanding of supervised and unsupervised machine learning algorithms.
• Hands‑on familiarity with Scikit-learn, Pandas, NumPy, and TensorFlow or PyTorch.
• Knowledge of data preprocessing, feature engineering, statistical analysis, and model evaluation techniques.
• Familiarity with SQL and database fundamentals.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.

Preferred Qualifications

• Experience with deep learning, neural networks, or natural language processing.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Knowledge of Git, REST APIs, Docker, or machine learning deployment practices.
• Academic projects, research experience, internships, or a portfolio demonstrating practical machine learning expertise.