Reinforcement Learning Expert

Fathom.io; Dhahran Compound; On-site; SAR 120,000 - 180,000; Full time

Job summary

Join a pioneering AI/DataOps company as a Reinforcement Learning Engineer, where you'll develop cutting-edge algorithms that leverage computer vision to solve complex business challenges. This dynamic role offers the chance to work on innovative projects, collaborate with talented teams, and contribute to a product that aims to revolutionize the industry. With a focus on real-world applications and a supportive work environment, you will have the opportunity to grow professionally while making a significant impact. If you are passionate about AI and eager to take on new challenges, this is the perfect place for you to thrive.

Benefits

Competitive salary and benefits package

Dynamic work environment

Opportunities for professional growth

Supportive team atmosphere

Qualifications

• 4+ years of experience in developing and deploying RL algorithms.
• Proficiency in Python and familiarity with ML frameworks.

Responsibilities

• Develop and implement advanced reinforcement learning algorithms.
• Manage and preprocess large datasets for RL model training.

Skills

Reinforcement Learning

Computer Vision

Data Management

Model Training and Evaluation

Optimization

Collaboration

Education

Bachelor's degree in Computer Science

Master’s or Ph.D. in Machine Learning or AI

Tools

Python

TensorFlow

PyTorch

Keras

OpenAI Gym

Stable Baselines

RLLib

Job description

About The Role

Fathom.io a pioneering AI/DataOps company, marking our footprint on the global stage with a presence in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world's leading corporations, underscoring our potential and the innovative spirit driving our mission. Our platform is engineered to address complex business challenges through cutting-edge AI solutions, with a particular emphasis on computer vision technologies. Our ambition is to launch a product that will revolutionize the industry by leveraging advanced computer vision capabilities.

We are seeking a highly skilled and independent Reinforcement Learning Engineer with a robust background in technology, especially in AI, DataOps, and most importantly, computer vision. This role demands a creative individual capable of developing innovative computer vision models and algorithms from scratch, adept at applying complex technical concepts to real-world problems.

What You’ll Be Doing

1. Develop and Implement RL Algorithms: Design, develop, and implement advanced reinforcement learning algorithms, including both model-based and model-free approaches such as Q-learning, Deep Q-Networks (DQN), Policy Gradient methods, and Actor-Critic methods.
2. Data Management: Manage and preprocess large datasets to support the training and validation of RL models. Ensure the quality and integrity of data used in RL projects.
3. Model Training and Evaluation: Train, test, and fine-tune RL models using state-of-the-art techniques. Evaluate model performance using appropriate metrics and iterate to improve results.
4. Simulation and Environment Design: Create and maintain simulated environments and scenarios to train RL models effectively. Work with cross-functional teams to integrate RL solutions into real-world applications.
5. Optimization and Deployment: Optimize RL models for performance and scalability. Deploy RL solutions in production environments, ensuring robustness and reliability.
6. Collaboration: Work closely with data scientists, engineers, and domain experts to align RL projects with business needs. Communicate technical concepts to non-technical stakeholders and provide insights on the impact of RL solutions.

What We Offer

• Competitive salary and benefits package.
• A dynamic and challenging work environment.
• Opportunities for professional growth and development.
• The chance to be part of a supportive and motivated team, dedicated to making a difference.

What You'll Need

Education: Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. A Master’s or Ph.D. with a focus on machine learning or AI is preferred.

Experience:

• Minimum of 4 years of experience in developing and deploying reinforcement learning algorithms. Proven experience with both model-based and model-free RL techniques is essential.
• Proficiency in programming languages such as Python.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Experience with RL-specific tools and libraries (e.g., OpenAI Gym, Stable Baselines, RLLib).
• Strong understanding of RL concepts such as reward functions, exploration-exploitation trade-offs, and policy optimization.

Nice to have:

• Outstanding communication and interpersonal skills.
• Knowledge of applicable laws, codes, and regulations.

We're excited about the future and look forward to potentially having you on our team. Apply today to join our journey of growth and innovation!