AI/ML Engineer - Islamabad - HR Ways

    HR Ways
    HR Ways Islamabad

    2 days ago

    Default job background
    $90,000 - $120,000 per year Technology / Internet
    Description

    Job Title

    AI/ML Engineer

    About Us

    HR-Ways is a company committed to energy efficiency and environmental sustainability. We leverage cutting-edge technologies like Artificial Intelligence (AI) and cloud computing to optimize buildings, making them intelligent, autonomous, energy-efficient, and eco-friendly.

    Job Details

    We are looking for a highly skilled AI Engineer with expertise in Deep Learning (DL) and a strong understanding of Deep Reinforcement Learning (DRL).

    • Design, develop, and optimize deep learning models for time-series data applications.
    • Implement, train, and fine-tune deep reinforcement learning algorithms (e.g., PPO, DDPG, SAC) for control and optimization tasks.
    • Develop scalable APIs for deploying AI models and integrating them with cloud-based infrastructures.
    • Work with AWS cloud services for training, deployment, and monitoring of AI models.
    • Optimize model inference performance and handle large-scale data processing pipelines.
    • Ensure robustness, reliability, and efficiency of AI models through continuous monitoring and retraining strategies.
    • Collaborate with cross-functional teams, including data engineers, software engineers, and domain experts, to solve real-world problems.
    • Conduct research and stay up-to-date with the latest advancements in deep learning and reinforcement learning.

    Requirements

    Education: Bachelor's degree in Computer Science, Engineering, or a related field.

    Experience: 3+ years of hands-on experience as an AI engineer or related engineering role.

    Technical Skills

    Deep Learning Expertise: Extensive experience with LSTMs and Transformers for solving time-series data problems.

    Reinforcement Learning Knowledge: Hands-on experience with DRL frameworks like Stable-Baselines3, Gymnasium, or custom implementations.

    Programming: Strong proficiency in Python, PyTorch, TensorFlow, and deep learning libraries.

    Model APIs: Experience in developing and deploying model inference APIs using FastAPI.

    Model Lifecycle Management: Familiarity with deep learning model checkpointing, versioning, and drift detection.

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Ai/ml engineer