AI Engineer

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Machine Learning EngineerData
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Quick Summary

Overview

Role Summary Abacus is looking for a talented and driven AI Engineer to join the Digital Transformation team. The ideal candidate will be responsible for designing, developing,

Technical Tools
Machine Learning EngineerData

Abacus is looking for a talented and driven AI Engineer to join the Digital Transformation team. The ideal candidate will be responsible for designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. This role requires strong technical expertise, analytical thinking, and the ability to translate complex data into actionable insights.

Responsibilities

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    Design, build, and deploy machine learning and AI models

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    Analyze and preprocess structured and unstructured datasets

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    Develop AI-driven solutions using machine learning, NLP, or related technologies

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    Optimize and fine-tune models for performance, accuracy, and scalability

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    Collaborate with cross-functional teams to integrate AI solutions into products and workflows

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    Implement model monitoring, evaluation, and maintenance strategies

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    Contribute to data pipeline design and feature engineering

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    Stay updated with emerging AI technologies and best practices

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    Document models, methodologies, and technical processes

Requirements

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  • 3+ years of hands-on experience in AI / Machine Learning roles

  • Strong proficiency in Python and common ML libraries/frameworks

  • Experience with machine learning algorithms and model development

  • Experience working with large datasets and data preprocessing techniques

  • Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.)

  • Experience with NLP, predictive modeling, or related domains

  • Understanding of model evaluation and performance optimization

  • Experience deploying models into production environments

  • Strong analytical and problem-solving skills

  • Ability to work collaboratively with technical and non-technical stakeholders

  • Experience with cloud-based AI/ML services

  • Knowledge of MLOps practices

  • Experience with data engineering or pipeline development

  • Exposure to real-world business applications of AI

  •  Familiarity with containerization or scalable ML deployments

Location & Eligibility

Where is the job
—
Location terms not specified

Listing Details

First seen
September 25, 2026
Last seen
September 29, 2026

Posting Health

Days active
3
Repost count
0
Trust Level
55%
Scored at
September 29, 2026

Signal breakdown

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AI Engineer