About the Job
We are excited to announce the opportunity for skilled Reinforcement Learning Engineers to join our team at Fathom.io as we embark on a project within the Oil & Gas sector in Saudi Arabia. Our pioneering AI/DataOps company is making its mark globally, with operations in Saudi Arabia, Poland, and Norway. Backed by a prominent corporation, we are positioned to innovate and deliver solutions that address complex business challenges through cutting-edge AI, particularly in computer vision technologies. Our ambition is to launch a product that will revolutionize the industry with advanced computer vision capabilities.
As a Reinforcement Learning Engineer, you will be responsible for developing innovative computer vision models and algorithms from scratch, applying complex technical concepts to real-world problems.
What You'll Be Doing
- 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.
- Data Management: Manage and preprocess large datasets to support the training and validation of RL models, ensuring data quality and integrity.
- 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.
- Simulation and Environment Design: Create and maintain simulated environments to effectively train RL models. Collaborate with cross-functional teams to integrate RL solutions into real-world applications.
- Optimization and Deployment: Optimize RL models for performance and scalability. Deploy RL solutions in production environments, ensuring robustness and reliability.
- 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. focused on machine learning or AI is preferred.
- Experience: Minimum of 8 years in developing and deploying reinforcement learning algorithms. Proven experience with both model-based and model-free RL techniques is essential.
- Skills: Proficiency in programming languages such as Python; familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras); experience with RL-specific tools and libraries (e.g., OpenAI Gym, Stable Baselines, RLLib).
- Knowledge: Strong understanding of RL concepts, including 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 are excited about the future and look forward to the possibility of having you on our team. Join us on our journey of growth and innovation!
