Senior AI/ML Engineer

Job Description

Job Description

Job Description

About Rogue Sentinel Studios:

Rogue Sentinel Studios Inc. is an international game development studio with teams and operations across the KSA and India. We collaborate with global clients on game development, interactive experiences, and creative technology projects. As part of our expansion into North America, our Toronto office will serve as a key hub for business development, partnerships, and operational coordination, supporting our long-term growth in the region.

About the Role:

Rogue Sentinel Studios Inc. is hiring a Senior AI/ML Engineer to build and deploy production-ready AI systems across our platforms and automation workflows. You will own the full ML lifecycle, from data pipelines and model development to cloud deployment, integration, and monitoring. 

The role focuses on delivering scalable, high-performance AI solutions using modern techniques in NLP, computer vision, recommendation systems, reinforcement learning, and generative AI. You will work closely with engineering, product, and DevOps teams to integrate AI into backend systems, optimize reliability and cost, and turn research into real-world features. 

This is a hands-on, senior-level role with significant technical ownership and impact. 

Responsibilities:

1. AI/ML Model Development

• Design, develop, and deploy machine learning models for various platforms and automation use cases. 
• Build scalable ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment. 
• Implement algorithms in NLP, computer vision, recommendation systems, reinforcement learning, and generative AI. 
• Optimize model performance for latency, accuracy, and resource efficiency. 
• Work with large datasets to extract insights and support AI-driven product features. 

2. Backend Integration & System Architecture

• Integrate ML models with backend systems, APIs, and cloud-based microservices. 
• Develop efficient inference services optimized for real-time or large-scale workloads. 
• Work with engineering teams to ensure smooth integration of AI features into production systems. 
• Build and maintain modular, reusable, and scalable AI service components. 

3. Cloud Infrastructure & Deployment

• Experience with AWS or Azure required (Alibaba Cloud a plus)
• Deploying ML pipelines, training jobs, and inference systems using cloud-native tools.
• Managing data storage, model hosting, and compute environments (GPU/CPU clusters).
• Implementing cloud security, IAM, monitoring, and performance optimization.
• Supporting CI/CD workflows for AI and backend systems.

4. Data Engineering & Pipeline Automation

• Build and maintain ETL/ELT pipelines for ingesting, cleaning, labelling, and transforming data.
• Implement robust data validation and quality assurance processes.
• Manage dataset versioning, experiment tracking, and reproducible ML workflows.
• Collaborate with DevOps teams to ensure scalable data and compute infrastructure.

5. Research & Innovation

• Stay updated with the latest advancements in LLMs, multimodal models, agents, generative AI, and ML infrastructure.
• Conduct experiments with new architectures, algorithms, and frameworks.
• Build proof-of-concept prototypes and present findings to the engineering leadership.
• Convert research outputs into production-ready features.

6. Tooling & Internal Automation

• Create internal tools to streamline AI-driven workflows, testing, and developer productivity.
• Implement automated evaluation frameworks for model quality, performance, and reliability.
• Develop reusable libraries, templates, and utilities for the engineering team.

7. Documentation & Collaboration

• Produce high-quality documentation for models, APIs, architectures, and deployments.
• Work closely with product, design, engineering, and operations teams to gather requirements and translate AI concepts into deliverables.
• Participate in code reviews, technical discussions, and sprint planning.

8. Performance, Monitoring & Reliability

• Implement model monitoring, logging, and anomaly detection for live AI features.
• Address model drift, data inconsistencies, and service degradation proactively.
• Ensure all AI systems adhere to privacy, compliance, and security standards.
• Optimize cloud compute costs through tuning and architectural improvements.

9. Reporting & KPIs

• Weekly reports covering model progress, experiments, data improvements, and integration updates. 
• Monthly reports summarizing AI deployments, performance benchmarks, cloud cost metrics, and R&D advancements. 

Qualifications (Required):

• 5+ years in software engineering with strong, hands-on experience in applied AI/ML.
• Graduate degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering or related technical fields.
• Proven experience building, training, and deploying ML models in production.
• Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or similar).
• Experience with end-to-end ML pipelines, including data processing, training, and deployment.
• Hands-on experience with cloud platforms (AWS or Azure preferred).
• Solid understanding of backend systems, APIs, and scalable architectures.
• Experience working with large datasets and MLOps practices (CI/CD, monitoring, versioning).

Nice to Have :

• Experience with LLMs, generative AI, or multimodal models.
• Experience with Kubernetes, Docker, or ML orchestration tools.
• Experience optimizing ML systems for performance and cost at scale.

Qualities We’re Looking For :

• Ownership-driven and comfortable taking systems from concept to production.
• Pragmatic, systems-oriented problem solver.
• Curious, adaptable, and up to date with modern AI techniques.
• Clear communicator and strong collaborator.
• Detail-oriented with a focus on reliability and maintainability.

We are seeking a reliable, long-term AI/ML Engineer who values ownership, professionalism, and continuous growth within a stable, product-focused environment. This role is well-suited for someone looking to build and scale production AI systems while growing alongside an evolving organization. Selected candidates will be contacted for an initial interview, and only those chosen for further consideration will be contacted.

Applicants must be legally authorized to work in Canada at the time of application. Visa sponsorship is not available for this role.

Rogue Sentinel Studios Inc. is an equal opportunity employer committed to fostering an inclusive and accessible workplace. We welcome applications from all qualified individuals and are dedicated to providing accommodations throughout the recruitment process in accordance with applicable legislation. Accommodation requests can be made when candidates are contacted for an initial phone screening.

Technical Evaluation Requirement 

Candidates selected for further consideration will be required to complete a technical evaluation. The evaluation may include one or more of the following areas: 

• ML model design 
• Cloud deployment 
• Data pipeline implementation 
• Coding and problem-solving 
• System architecture and design thinking 

Compensation and Benefits:

• Annual Salary: CAD $100,000 – $120,000, commensurate with experience and qualifications 
• Employment Type: Permanent, full-time position 
• 37.5 hours per week (full-time), in accordance with Ontario employment standards. 
• Paid Time Off: Paid vacation, statutory holidays, and applicable employment benefits as required by law 
• Probation: Employment is subject to a probationary period in accordance with Ontario employment standards 

Work Arrangement:

This is a hybrid role, requiring 2–3 days per week on-site at our Toronto office, with the remaining days worked remotely. On-site presence is expected during standard business hours on designated days. Limited flexibility may be provided based on business and project needs. 

Rogue Sentinel Studios Inc. is an international game development studio with teams and operations across the KSA and India. We collaborate with global clients on game development, interactive experiences, and creative technology projects. As part of our expansion into North America, our Toronto office will serve as a key hub for business development, partnerships, and operational coordination, supporting our long-term growth in the region.

Company Description

Rogue Sentinel Studios Inc. is an international game development studio with teams and operations across the KSA and India. We collaborate with global clients on game development, interactive experiences, and creative technology projects. As part of our expansion into North America, our Toronto office will serve as a key hub for business development, partnerships, and operational coordination, supporting our long-term growth in the region.