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AI/ML Engineer
2 weeks ago
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 3 years
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Islamabad
𝐓𝐢𝐦𝐢𝐧𝐠𝐬: 10 am to 7pm
Model Development & Optimization
Design, train, and fine‑tune machine learning and AI models—balancing performance, accuracy, latency, and scalability across production environments.
Data Pipeline & Feature Engineering
Build robust data pipelines: perform data pre processing, cleansing, feature engineering, and ensure smooth data flows for training and inference.
Integration & Deployment
Transition ML prototypes to production by deploying models via APIs or microservices, and integrate them with backend systems. Employ ML Ops best practices including CI/CD, containerization (Docker/Kubernetes), and model monitoring.
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Model Monitoring & Maintenance
Implement monitoring to alert on drift, performance degradation, and system issues; continuously refine models post‑deployment.
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Cross‑functional Collaboration & Mentorship
Work closely with data scientists, software engineers, product teams, and stakeholders to align solutions with business goals. Mentor junior team members and participate actively in code reviews and design discussions.
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Continuous Learning & Research
Stay current with advanced methodologies, frameworks, and tools in AI/ML. Pilot emerging technologies to boost project effectiveness and innovation.
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Documentation & Communication
Thoroughly document methodologies, pipelines, experiments, and decisions. Translate complex technical findings for non‑technical audiences.