AI Engineer
Job Description:
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, 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.
Key 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
Required Skills & Qualifications
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3+ years of hands-on experience in AI / Machine Learning roles
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Strong proficiency in Python and common ML libraries/frameworks
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Experience with machine learning algorithms and model development
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Experience working with large datasets and data preprocessing techniques
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Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.)
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Experience with NLP, predictive modeling, or related domains
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Understanding of model evaluation and performance optimization
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Experience deploying models into production environments
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Strong analytical and problem-solving skills
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Ability to work collaboratively with technical and non-technical stakeholders
Preferred Qualifications
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Experience with cloud-based AI/ML services
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Knowledge of MLOps practices
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Experience with data engineering or pipeline development
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Exposure to real-world business applications of AI
- Familiarity with containerization or scalable ML deployments
Location: Lahore & Kenya
Required Skills:
Performance Data Data Engineering Modeling Analytical Thinking PyTorch Development TensorFlow Digital Transformation Deep Learning Scalability Algorithms Optimization Machine Learning Maintenance Design Engineering Business Python