AI/ML Engineer

HR Ways; Islamabad; On-site; PKR 6,000,000 - 10,000,000; Full time

Job summary

An innovative GreenTech organization is seeking a talented AI Engineer to work on cutting-edge solutions that enhance energy efficiency and sustainability. This role involves designing and deploying deep learning models, particularly for time-series data applications. The ideal candidate will leverage their expertise in deep reinforcement learning and cloud computing to create scalable APIs and optimize model performance. Join a forward-thinking team that values creativity and collaboration, and make a significant impact on the future of intelligent, eco-friendly technologies. If you are passionate about AI and eager to tackle real-world challenges, this opportunity is for you.

Qualifications

• 2+ years of experience as an AI engineer or related role.
• Strong foundation in Python and software engineering principles.

Responsibilities

• Design and optimize deep learning models for time-series data applications.
• Implement and fine-tune deep reinforcement learning algorithms.

Skills

Deep Learning

Deep Reinforcement Learning

Python

Model API Development

Cloud Computing (AWS)

Problem-Solving Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Tools

PyTorch

TensorFlow

FastAPI

Stable-Baselines3

Gymnasium

Job description

Client Company Information:
This is a GreenTech Organization committed to energy efficiency and environmental sustainability. Leveraging cutting-edge technologies such as Artificial Intelligence (AI) and cloud computing, they optimize buildings, making them intelligent, autonomous, energy-efficient, and eco-friendly. The company provides sustainability through cutting edge AI and solutions. The company works closely with their clients to understand their unique needs and tailor our solution to meet their specific requirements.

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). The ideal candidate will have hands-on experience in designing, training, and deploying deep learning models for time-series data applications. Additionally, they should be proficient in model API development, cloud-based deployment (AWS), and have a strong foundation in Python and software engineering principles.

Responsibilities:

• 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: 2+ 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.
• Problem-Solving Skills: Ability to work with large-scale, real-world time-series data, optimize deep learning models, and implement innovative AI-driven solutions.

Nice to Have:

• Familiarity with cloud platforms (AWS) for model deployment and monitoring.
• Basic knowledge of CI/CD pipelines in a machine learning context.

Other Details:
Location: Onsite - Multi Gardens B-17, Islamabad
Experience: Minimum 3 years
Work Timings / Day: Monday to Friday (9:00 AM - 6:00 PM)
Work Mode: Onsite