ML Engineer - AI & Generative AI Solutions (Hybrid/Remote)

Webologix Ltd/ INC; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Webologix Ltd/ INC is seeking highly motivated Machine Learning Engineers in the United States. You will collaborate with data scientists, software engineers, AI researchers, and business stakeholders to develop, deploy, and optimize AI-powered applications addressing complex business challenges.

The role emphasizes building predictive models, AI solutions, and scalable ML systems, with opportunities across on-site, hybrid, and remote work options in the USA.

Qualifications

• Master's degree in a quantitative field (required).
• 0–3 years of experience in ML/AI or related domains.
• Strong foundation in ML algorithms, statistics, probability, and data structures.
• Excellent analytical, problem-solving, and communication skills.
• Knowledge of software development principles, cloud technologies, and model deployment concepts.

Responsibilities

• Design, develop, and deploy machine learning and AI solutions.
• Build predictive models, recommendation systems, and intelligent automation solutions.
• Analyze and process large structured and unstructured datasets.
• Develop feature engineering and data preprocessing pipelines.
• Train, evaluate, and optimize ML and deep learning models.
• Collaborate with engineering teams to integrate ML models into production environments.
• Monitor model performance, scalability, and reliability.
• Support cloud deployment and MLOps initiatives.
• Research and implement emerging AI technologies.

Skills

Machine Learning

Deep Learning

Generative AI

Predictive Analytics

Data Science

Statistics

Data Processing

Cloud Technologies

MLOps

Education

Master's Degree

Job description

Webologix Ltd/ INC is seeking highly motivated Machine Learning Engineers in the United States. You will collaborate with data scientists, software engineers, AI researchers, and business stakeholders to develop, deploy, and optimize AI-powered applications addressing complex business challenges.

The role emphasizes building predictive models, AI solutions, and scalable ML systems, with opportunities across on-site, hybrid, and remote work options in the USA.