Key Responsibilities:

• Develop and Implement the Company's Technical Vision: Define and drive the long-term technical architecture and strategy for the Omnic.AI platform, including scalable AI/ML infrastructure, video processing pipelines, and data analytics systems. Ensure the technology stack supports rapid growth and innovative product development.
• Engineering Leadership and Delivery: Own the entire software development lifecycle. Implement and optimize agile processes, quality assurance, and DevOps practices to ensure timely and predictable delivery of engineering projects, meeting product and business goals.
• Budget and Resource Management: Create, manage, and optimize the engineering department's budget, resources, and external vendor relationships to maximize efficiency and return on investment in technology.
• Stakeholder Communication: Serve as a key liaison between the Engineering department and the executive team, Product, Marketing, and Operations. Articulate the technical strategy, progress, risks, and resource needs clearly and effectively to all internal and external stakeholders.
• Talent Acquisition and Development: Supervise and scale the hiring process for all engineering and data science roles. Mentor, coach, and develop existing engineering leaders and staff, fostering a culture of technical excellence, continuous learning, and accountability.

Required Qualifications:

• Experience: 10+ years of progressive experience in software engineering, with at least 3+ years in a senior leadership role (VP, Head of Engineering, or CTO) at a technology-focused company, preferably one dealing with large-scale data, AI, or video processing.
• Technical Expertise: Deep technical understanding and leadership experience in building and scaling complex, data-intensive platforms, including expertise in:
  • Artificial Intelligence, Machine Learning, and Deep Learning models.
  • Cloud infrastructure (e.g., AWS, GCP, Azure) and scalable microservices architectures.
  • Video processing, computer vision, or real-time data ingestion is highly desirable.
• Deep expertise with the core Python Data Science/ML ecosystem, including libraries like NumPy, Pandas, and SciPy.
• Leadership: Proven ability to manage, mentor, and inspire geographically distributed, high-performing engineering and data science teams of significant size.
• Business Acumen: Strong financial and strategic planning skills with a track record of managing large budgets and translating business objectives into technical strategies.
• Communication: Exceptional written and verbal communication skills, capable of synthesizing complex technical concepts for non-technical audiences.

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects
• Collaborative and supportive work environment
• Chance to make a real impact on our success

Responsibilities:

• Work with product managers and engineers to gather user requirements and translate them into wireframes, prototypes, and mockups
• Use Bootstrap to create responsive and user-friendly web applications
• Conduct user research and usability testing to ensure that designs meet the needs of users
• Collaborate with other team members to ensure that designs are consistent with the overall branding and marketing strategy
• Stay up-to-date on the latest trends in UI/UX design

Qualifications:

• Bachelor's degree in graphic design, human-computer interaction, or a related field
• 3+ years of experience in UI/UX design
• Strong proficiency in Bootstrap
• Experience with other web development technologies, such as HTML, CSS, and JavaScript
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Strong attention to detail and a commitment to quality

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects
• Collaborative and supportive work environment
• Chance to make a real impact on our success

Responsibilities:

• ML System Development: Design, develop, and deploy highly scalable Python services and APIs to serve our core machine learning models (computer vision and deep learning) in a production environment.
• Data Pipeline Engineering: Build and optimize resilient data pipelines for ingesting, processing, and transforming large volumes of video and game data necessary for model training and inference.
• Performance and Optimization: Focus on improving the speed and efficiency of inference engines, optimizing Python code, and managing computational resource allocation for AI workloads on the cloud.
• Collaboration: Work closely with Data Scientists and Machine Learning Engineers to transition research prototypes and models into reliable, production-ready services.
• Code Quality & DevOps: Write clean, robust, and well-tested Python code. Participate in code reviews, and contribute to the automation of testing, deployment, and monitoring (CI/CD) within our cloud infrastructure.

Required Qualifications:

• 5+ years of professional software development experience, with a focus on Python.
• 3+ years of experience specifically developing and deploying machine learning services and data pipelines in a production environment.
• Deep expertise with the core Python Data Science/ML ecosystem, including libraries like NumPy, Pandas, and SciPy.
• Proven experience with Deep Learning frameworks such as PyTorch and TensorFlow.
• Strong experience connecting to web APIs.
• Solid understanding of cloud computing environments (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and experience working with large-scale, high-velocity data.

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects
• Collaborative and supportive work environment
• Chance to make a real impact on our success

Responsibilities:

• Feature Development: Architect and implement new user-facing features across the entire application stack using Ruby on Rails (API and rendering) and associated frontend technologies (HTML/CSS/JavaScript).
• Performance Optimization: Identify and resolve performance and scalability issues on both the front end and in the Rails backend, ensuring a fast and seamless user experience for gamers globally.
• API Integration: Collaborate closely with our Machine Learning and Backend Engineering teams to integrate front-end features with our core AI services via RESTful API endpoints and RabbitMQ.
• Code Quality: Write clean, well-tested, and highly maintainable code using best practices, design patterns, and appropriate testing frameworks (e.g., RSpec).
• UI/UX Collaboration: Work with designers and product managers to translate high-fidelity designs and user requirements into functional, responsive, and visually appealing user interfaces.

Required Qualifications:

• 5+ years of professional experience developing large-scale web applications.
• Expert proficiency in Ruby and the Ruby on Rails framework (version 7+ preferred).
• Strong command of modern front-end technologies: HTML5, CSS3, and JavaScript.
• Experience with modern Rails approaches like Hotwire, Turbo, and Stimulus.
• Experience with relational databases, particularly PostgreSQL, including query optimization and schema design.
• Familiarity with common front-end build tools, package managers, and component libraries.
• Demonstrated experience writing unit, integration, and end-to-end tests to ensure application reliability.
• Experience deploying applications on cloud platforms (e.g., AWS, DigitalOcean, GCP) and working within a CI/CD environment.

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects
• Collaborative and supportive work environment
• Chance to make a real impact on our success

Responsibilities:

• Generate new leads and qualify prospects
• Develop and maintain relationships with existing customers
• Present and demonstrate our products and services to potential customers
• Close sales deals and negotiate contracts
• Track and analyze sales results to identify opportunities for improvement
• Stay up-to-date on the latest trends in AI and esports sales

Qualifications:

• Bachelor's degree in business, marketing, or a related field
• 1+ years of experience in sales, with a focus on AI or gaming
• Strong understanding of the AI and gaming industries
• Experience in developing and closing sales
• Experience in presenting and demonstrating products and services to potential customers
• Excellent communication and presentation skills
• Strong negotiation skills
• Ability to work independently and as part of a team
• Strong attention to detail and a commitment to quality

Benefits:

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects
• Collaborative and supportive work environment
• Chance to make a real impact on our success