About the job Senior AI Manager (Deep Learning & Reinforcement Learning)
Senior AI Manager (Deep Learning & Reinforcement Learning)
Location : Islamabad, Pakistan
Our technology integrates seamlessly with existing building automation systems, making energy efficiency simple and scalable across diverse building types.
The Role
We are seeking a Senior AI Manager to lead our AI engineering team, combining technical expertise in Deep Learning and Reinforcement Learning with strong leadership skills. You will oversee the development, deployment, and scaling of AI models, manage a team of engineers, and ensure production-grade solutions for real-world time-series applications.
Key Responsibilities
- Lead, mentor, and manage a team of AI engineers and data scientists.
- Oversee the design, development, and optimization of deep learning models (LSTMs, Transformers, and other advanced architectures) for time-series applications.
- Guide the implementation and fine-tuning of reinforcement learning algorithms (PPO, DDPG, SAC) for control and optimization.
- Build and maintain scalable APIs for model inference and integration with cloud systems (FastAPI preferred).
- Manage cloud deployments, monitoring, and scaling (AWS expertise preferred).
- Establish best practices for AI lifecycle management : checkpointing, versioning, drift detection, and retraining.
- Collaborate with data engineers, software engineers, and domain experts to deliver production-ready AI solutions.
- Stay up to date with AI research and translate advancements into practical applications.
Requirements
Education : Bachelors or Masters in Computer Science, Engineering, or related field.Experience : 7-14 years in AI / ML engineering, with 3+ years in a leadership or managerial role.Technical Expertise :Deep Learning : LSTMs, Transformers, and advanced architectures for time-seriesReinforcement Learning : Practical experience with DRL frameworks (Stable-Baselines3, Gymnasium, or custom)Programming : Python, PyTorch / TensorFlow, and relevant ML librariesModel APIs : Experience building APIs (FastAPI preferred)AI Lifecycle Management : Checkpointing, versioning, drift detection, retrainingApplied Problem-Solving : Handling large, noisy, real-world time-series datasetsNice to Have
AWS deployment, monitoring, and scaling experienceExposure to CI / CD for ML pipelinesProven experience mentoring or leading technical teamsWhy Join Our Team?
Directly contribute to AI solutions that reduce global carbon emissionsLead a motivated, collaborative, and diverse teamGrow your technical and leadership skills in a cutting-edge domainCompetitive compensation and benefitsEqual opportunity employerApply Now
If you're ready to combine AI leadership with hands-on technical expertise to tackle real-world sustainability challenges, we'd love to hear from you.
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