Machine Learning Engineer

Machine Learning Engineering Manager

Oddin.gg

Your teams own the algorithmic heartbeat of major esports verticals, spanning iconic MOBA titles (Dota 2, LoL) and FPS giants (CS2, Valorant). They manage the entire ML lifecycle—from raw data ingestion and feature engineering to model architecture, rigorous validation, and high-throughput production deployment. While you won't be writing the code yourself, you will serve as the technical anchor who deeply understands this end-to-end flow, ensuring our systems are robust, scalable, and cutting-edge. A critical pillar of your role is high-level strategic alignment. You will act as the key technical bridge between your teams and product managers, infrastructure champions, and domain game specialists, transforming complex technical capabilities into sharp business outcomes and seamlessly integrating domain insights into our modeling strategy. Your Responsibilities Leadership Lead two teams of 4-6 ML engineers and mathematicians, each focused on a different esports vertical (MOBA, FPS). Define team staffing needs and drive hiring across both teams. Manage performance of direct reports. Foster a culture of ownership, accountability, and collaboration. Set the standard for how the teams work with AI tools - lead by example, encourage experimentation, measure and evaluate AI tools and set up impact on delivery. Technical Strategy & Roadmap Partner with senior team members to shape the roadmap; together with a PM ensure alignment with business goals. Review and challenge key high-level technical decisions - model development and validation, ML architecture etc. Work on unblocking the teams - support ML Ops and infrastructure best practices. Evaluate and introduce AI tooling that accelerates model development, validation, and deployment. Delivery & Execution Own the agile delivery process; find a good trade-off between delivery and R&D. Help others break down complex ideas into actionable tasks and research initiatives; drive execution and delivery. Leverage AI tools to accelerate prototyping and iteration cycles. Manage dependencies across teams and represent the teams externally when resolving cross-team initiatives. Skills You Need Individual Contributor Background (4+ years) 4+ years as a hands-on ML engineer. Understanding of model development and validation challenges, pitfalls, and best practices. Practical experience with MLOps. Concrete experience using AI tools to accelerate ML workflows - code generation, prototyping, validation. Manager (3+ years) 3+ years leading a team of 5–10 people focused on ML or mathematical models. Strong communication and collaboration skills - creating a supportive, productive environment. Ability to provide constructive feedback, support growth, and set clear goals. Strong organizational skills - tracking progress across two teams, identifying blockers, ensuring delivery with clear stakeholder insights. Bonus: Industry Experience Experience in betting, quantitative finance, trading, or sports analytics is a significant advantage. Haven't we caught you yet? Help us maintain our position as the No. 1 esports analytics company. Imagine a culture that embraces change and quickly adapts to global opportunities. Experience immense potential for personal growth while contributing to an innovative team. Work remotely or in a hybrid style – whatever suits you best. Enjoy our brand new Norse-myth-inspired offices in Prague. Improve your English with company-sponsored language courses. Participate in quarterly team-building activities to bond with your team. Benefit from a sponsored Multisport card.

Senior Technical Domain Lead

Rohlik Group

COMPANY OVERVIEW Rohlik Group is building the future of online grocery — delivering 25,000 SKUs in under three hours across multiple European markets. But this isn't just a logistics problem. We're engineering the shift to agentic-first development, rethinking how software gets built so we can ship faster without compromising the quality our customers expect. Our engineers work on problems that sit at the intersection of AI, real-time operations, and consumer experience. Whether it's driving our warehouses toward lights-out operations, bringing agentic shopping to our web and app products, or building the internal systems that power one of Europe's fastest-growing grocery platforms — the technical challenges here are real and unsolved. DEPARTMENT OVERVIEW 100+ engineers across Product Engineering, Platform & SRE, Machine Learning, AI, and Data. We work in compact cells of 3-8 people, each owning a specific problem with clear KPIs. We're AI-native — Claude Code and Devin are part of our daily workflow, not a pilot. We ship fast, we build with the best tools available, and we don't hide behind process when we could be shipping. ROLE OVERVIEW You'll own the technical direction for one of Rohlik's core domains — from architecture to delivery. This is a staff-plus individual contributor role: no direct reports, but far-reaching influence across multiple teams and functions. You'll be the person teams turn to when they're stuck on the hardest problems. You'll shape how systems are designed, how trade-offs are evaluated, and how we evolve our platform as we scale across markets. You're accountable for ensuring your domain's systems are architecturally sound, scalable, secure, and aligned with where the company is heading. You'll also play a key role in embedding AI and agentic practices into the stack and developer workflows — helping us move faster while keeping quality high. This means driving the adoption of agentic development, championing automation, and ensuring Rohlik stays on the cutting edge of how modern engineering teams work. WHAT WE EXPECT FROM YOU / THE POSITION TO PERFORM * Own the long-term technical vision, architecture, and strategic direction of your domain. * Lead cross-team design discussions, architectural reviews, and delivery of major technical initiatives. * Partner with Engineering Managers, Product Engineers, and Product Owners to turn business goals into sound technical strategy. * Drive high standards for security, scalability, and performance — and make them stick. * Champion agentic-first development practices to help engineers ship faster. * Make the engineers around you better — through pairing, design reviews, and raising the bar on what "good" looks like. * Support multiple engineering teams by unblocking complex issues and setting clear technical standards. * Provide input into group-wide engineering strategy, technology selection, and platform direction. * Act as the point of escalation for the most complex technical decisions in your domain. WHAT WE LOOK FOR / WHAT WE REQUIRE REQUIRED * You've designed and scaled large, mission-critical systems that serve real users at scale. * You've made architectural decisions that teams are still benefiting from years later — and you can articulate the trade-offs you considered. * You can walk into a room of senior engineers, explain a complex trade-off, and leave with alignment — even without formal authority. * You have deep expertise in a specific technical domain (e.g., payments, logistics, customer experience, AI/ML) and a track record of shaping its direction. * You've mentored senior engineers and helped them grow — not just reviewed their code, but changed how they think about problems. * You're excited about using AI to fundamentally change how engineering teams work — not as a buzzword, but as a real multiplier. * Proficiency in Java and React. You can find our full stack here. PREFERRED * Experience contributing to open-source projects or presenting at technical conferences. * Familiarity with multiple programming paradigms and technology stacks. * Exposure to cross-regional or multi-country technology operations. WHAT’S IN IT FOR YOU * Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. * Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. * Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. * Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. * Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. * Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. * Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz. * Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. * A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. * If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?

AI Data Specialist - Vietnamese

RWS

We are looking for AI Data Specialists to support the improvement of AI-generated content in Vietnamese.   Job Type: Freelance Location: Remote Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Rate: 6 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)    Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including:   - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data)   What we’re looking for: - Native-level fluency in Vietnamese. - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2). - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer - 100% remote work - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents   Please apply using a GMAIL account if you have one.   #LI-PR1505