TL;DR

ML/AI Engineer (AI/ML Engineering): Developing and deploying machine learning models for classification, regression, forecasting, and NLP tasks with an accent on production-grade code and best practices. Focus on building data pipelines, implementing training workflows, and creating production-ready ML services.

Location: US Remote

Salary: $57,000.00 – $99,750.00

Company

%hirify_global% is a recognized global standard for project-based businesses, delivering software and information solutions to help organizations achieve their purpose.

What you will do

Develop and deploy machine learning models for classification, regression, forecasting, and NLP tasks.
Build data pipelines for ML model training and inference, working with structured and unstructured data.
Implement model training workflows including data preprocessing, feature engineering, and model evaluation.
Create production-ready ML services with RESTful APIs consumed by web and mobile applications.
Collaborate with data scientists to productionize research models and optimize them.
Participate in code reviews, document solutions, and support deployed models.

Requirements

2-4 years of ML engineering experience with hands-on model development and production deployment.
Strong Python programming experience (scikit-learn, pandas, numpy), familiarity with PyTorch or TensorFlow.
Solid understanding of ML fundamentals, model evaluation, and feature engineering.
Experience building RESTful APIs (Flask, FastAPI) and understanding microservices architecture.
SQL proficiency; experience with data pipelines, ETL processes, and databases (PostgreSQL, MySQL).
Working knowledge of cloud platforms (AWS, Azure, GCP), cloud storage, compute, and managed ML services.
Education: BS in Computer Science, Data Science, Mathematics, or related technical field.

Nice to have

Exposure to NLP techniques, LLMs, embedding models, or vector databases.
Experience in B2B SaaS environments.

Culture & Benefits

Access to healthcare benefits and a 401(k) plan with company match.
Paid vacation time and holidays.
Well-living programs, short-term and long-term disability coverage.
Basic life insurance and tuition reimbursement.
Balanced, values-driven environment with focus on learning and growth.