AI/ML Engineer
Company: EduVantage Tech
Location: Boston, MA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-08-26
About this role
AI/ML Engineer
Location:
United States
Job Type:
Full-Time
Work Mode:
Remote / Hybrid / On-site, depending on the opportunity
About the Role
We are looking for talented
AI/ML Engineers
to design, develop, and deploy intelligent solutions using machine learning, artificial intelligence, and modern data technologies.
The ideal candidate will have a strong foundation in programming, data, machine learning, and AI, with an interest in building scalable and production-ready intelligent systems.
Key Responsibilities
- Develop and implement machine learning and AI models for real-world business applications.
- Work with structured and unstructured datasets to identify patterns and generate insights.
- Build, train, evaluate, and optimize machine learning models.
- Develop AI-powered solutions using modern ML and Generative AI techniques.
- Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders.
- Perform data preprocessing, feature engineering, model validation, and performance optimization.
- Work with APIs, cloud platforms, and scalable data pipelines when required.
- Monitor model performance and continuously improve AI/ML solutions.
- Document models, processes, experiments, and technical solutions.
Required Skills
- Strong knowledge of
Python
and data structures.
- Understanding of
Machine Learning
and AI concepts.
- Experience with libraries such as
Scikit-learn, TensorFlow, or PyTorch
is a plus.
- Knowledge of
SQL
and data manipulation.
- Familiarity with Generative AI, LLMs, NLP, or computer vision is preferred.
- Understanding of statistics and model evaluation techniques.
- Strong analytical and problem-solving skills.
Preferred Skills
- AWS, Azure, or Google Cloud.
- MLOps and model deployment.
- Databricks, Spark, or modern data platforms.
- Generative AI and LLM applications.
- Docker, Kubernetes, or CI/CD.
- Experience working with large-scale datasets.
Educa...