AI Engineer: Build & Deploy ML Solutions

Abacus; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Abacus is seeking an AI Engineer to design, develop, deploy, and maintain AI/ML models addressing business challenges. You will analyze large datasets for model training and optimization and build solutions using ML, NLP, or computer vision.

The role requires hands-on experience with Python and ML frameworks, strong data preprocessing skills, and familiarity with cloud platforms. Collaboration with engineering and product teams is essential.

Qualifications

• 2–4 years of hands-on AI/ML experience
• Strong Python programming
• Experience with ML frameworks TensorFlow, PyTorch, or Scikit-learn
• Data preprocessing, feature engineering, and model evaluation
• Familiarity with SQL or NoSQL databases
• Good analytical and problem-solving skills
• Bachelor's or Master's degree in AI, Data Science, or related field
• Experience with cloud platforms such as AWS, Azure, or GCP
• Understanding of model deployment and MLOps concepts

Responsibilities

• Design, develop, and deploy AI/ML models.
• Analyze and process large datasets for model training and optimization.
• Build and implement solutions using ML, NLP, or computer vision.
• Collaborate with cross-functional teams including engineering and product.
• Monitor, evaluate, and improve model performance.
• Integrate AI solutions into existing systems.
• Maintain clear documentation of models and processes.

Skills

Python

Analytical thinking

ML concepts

Data preprocessing

Model evaluation

Education

Bachelor's/Masters in AI or Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

SQL/NoSQL

Cloud platforms (AWS/Azure/GCP)

Job description

Abacus is seeking an AI Engineer to design, develop, deploy, and maintain AI/ML models addressing business challenges. You will analyze large datasets for model training and optimization and build solutions using ML, NLP, or computer vision.

The role requires hands-on experience with Python and ML frameworks, strong data preprocessing skills, and familiarity with cloud platforms. Collaboration with engineering and product teams is essential.