• Own and drive the design and delivery of production-grade agentic AI/ML solutions and platforms for global enterprise clients. • Translate complex business requirements into opinionated, prescriptive architectures and implementation plans that leverage modern agentic stacks, LLMs, and cloud-native AI/ML platforms. • Lead Zero-to-One delivery for the India Agentic Delivery Center, taking engagements from initial discovery through to production-ready agents and closed-loop intelligence workflows. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients, including under fixed-price and outcome-based commercial models. • Communicate the business value, ROI, and risks of agentic solutions to both technical and non-technical stakeholders, including executive and C-level audiences. • Collaborate with cross-functional partners including global leadership, forward-deployed US-based engineers, data engineering, analytics, partner, and marketing teams to deliver successful client engagements. • Partner with the Global Leadership team to prioritize agentic solutions and accelerators based on market demand, key technology stacks (e.g., Snowflake, AWS), and phData’s strategic roadmap. • Provide technical and strategic leadership during client workshops, discovery sessions, architecture reviews, and delivery governance forums. • Serve as the primary point of escalation for India-based delivery, resolving technical issues, client misalignments, and performance concerns with urgency and ownership. • Ensure high quality in deliverables through engineering best practices, including robust SDLC processes, code reviews, documentation, testing, and production-readiness standards. • Architect and stand up the foundational India Agentic Delivery Center, designing delivery models, operating mechanisms, and integrations with the broader consulting organization. • Recruit, onboard, and develop an elite team of architects and engineers, setting a high technical bar and ensuring consistent performance management and calibration. • Drive the development of reusable accelerators, modular agentic codebases, and solution templates that can be applied across clients and industries. • Contribute to internal initiatives such as IP development, capability management, partner engagement, and thought leadership aligned to AI/ML and agentic architectures. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders and acting as the face of the India agentic team with clients. • Act as a trusted advisor to senior client stakeholders and C-suite executives, shaping AI/ML and agentic roadmaps, influencing strategic decisions, and guiding long-term transformation initiatives. • Mentor and coach architects and engineers, fostering a culture of extreme ownership, high performance, continuous learning, and feedback. • Help define and refine global practice standards, technical bars, and delivery frameworks for agentic AI/ML solutions, ensuring alignment across regions. • Drive strategic growth of the Agentic Delivery Center by identifying new opportunities, informing go-to-market strategies, and partnering with alliances and marketing on field-facing assets.

Role Description We're looking for Generalist AI Trainers to join us on a part-time contractor basis — no technical background required, just strong judgment, clear thinking, and an eye for quality. The minimum expected time commitment is 10 hours/week. - Review and rate AI-generated responses for quality, accuracy, and helpfulness - Write prompts, questions, and example conversations to help train the model - Compare pairs of AI responses and select the better one based on clear criteria - Follow detailed instructions to complete structured evaluation tasks - Flag problematic or incorrect outputs and explain what's wrong and why - Occasionally research topics to verify whether AI responses are factually sound Qualifications - Strong written English communication skills — you can express your reasoning clearly and concisely - Sharp attention to detail and consistent judgment across repetitive tasks - Ability to work independently, manage your own time, and meet deadlines - Comfortable with ambiguity — not every task has a clear-cut answer - Reliable internet connection and a quiet working environment - Availability for at least 10 hours/week on a flexible schedule Requirements - Background in any domain is welcome — we are actively upgrading our skillsets and our offerings - Experience with AI tools, data annotation, or content evaluation - Fluency in additional languages beyond English Benefits - Competitive compensation tailored to experience and scope of work Company Description Lightly AG is a Zurich-based AI company and ETH/HSG spin-off, backed by Y Combinator and top-tier investors. We're funded by YCombinator and top investors.

Role Description 1X2 Network, the industry acclaimed Slot Supplier of the Year (EGR awards 2021), is looking for a Games Mathematician, reporting directly to the Maths Team Lead. This is an opportunity to join a creative, fast-growing and independent software company. As a member of the Maths Team, the successful candidate will be involved in the production, maintenance and data analysis of online and retail slot games – with tasks including (but not limited to): - Developing original concepts - Running Monte Carlo simulations - Playtesting games with an internal demo engine You will liaise with a variety of other internal teams, primarily working with the Back/Front-end teams during game development, and later with the Data/Operations team after the initial release to help maintain and review games on the market. On a day-to-day basis, your responsibilities may include: - Monitoring existing products - Internal playtesting/review of current projects - Creating a tool in Java/Python or solving a complex mathematical problem to meet a particular need or requirement A major part of this role is creativity and having a core understanding of probability, statistics and player enjoyment to ensure that games are of the highest quality. Qualifications - Three or more (3+) years of experience working with slot game mathematics - An undergraduate/master's degree in mathematics or equivalent in other numerate disciplines – such as Statistics, Engineering or Physics - Good knowledge of Combinatorics, Probability Theory and Quantitative Analysis - Advanced knowledge of the Java programming language, and with Microsoft Excel - Excellent verbal and written communication skills Requirements - Ability to write in the language of mathematics – with the ability to write and understand different neologisms, symbols and jargon commonly used in the field - Knowledge of and experience of Object Oriented Programming (OOP) concepts - Proficient with the Python programming language and modular design patterns - Prior experience of running Monte Carlo simulations - with knowledge of how to interpret the data and use it to further improve the model - An interest in and knowledge of slot games, with an understanding of the current state of the market Benefits - Competitive salary in addition to a company bonus scheme - Long-term career prospects with opportunities to develop – the job is what you make it! - A fun working atmosphere working amongst an enthusiastic and dynamic team - A stimulating work environment in a state-of-the-art, purpose-designed space, including games pinball machine and table tennis - Weekly sports/games, Friday drinks, as well as the much anticipated Summer and Christmas parties! - Flexible remote working – for the right candidates - 2-minute walk from Brighton train station - 5-minute walk from the Brighton Lanes, pubs and nightlife

Title: People Analytics & AI Specialist Location: New York City, NY Job Description: About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: We're looking for someone who brings both technical fluency and people-function context - someone who can own how People Team data is structured, governed, and used, and who can serve as the bridge between People and IT to unlock AI-enabled work. This isn't a pure analytics role or a pure systems role. It's someone who understands the full data-to-decision chain and can make it faster and more reliable - while actively building toward a more AI-augmented People function. What you'll do: - Ensure People Team data is clean, documented, and accessible - with clear ownership, defined governance, and a shared understanding of how we can apply it to different use cases - Business leaders and key members of the People org have reliable, self-service access to the metrics that matter most (headcount, attrition, talent pipeline, org health) - without routing every request through a single person - Build towards a working model for how People and IT collaborate on data and AI projects - clear intake, prioritization, and delivery norms that didn't exist before - Establish and maintain People data governance standards - including data definitions, audit processes, and documentation - so the org has a clear, trusted source of truth - Monitor integration runs, troubleshooting data syncs, and UAT for HRIS changes - Based on input from People leaders, develop a clear AI roadmap, including a prioritized backlog grounded in actual workflow analysis - Support and partner with People team leaders to drive towards an end state of meaningfully augmented by AI tooling by scoping, building, and developing comprehensive roll out plans What it takes: - Technical fluency Comfortable working in data environments - can write or interpret SQL, work with HRIS/HCM systems at a configuration level, and has enough familiarity with data pipelines to partner credibly with engineers. Doesn't need to build everything themselves, but can't be a passenger in technical conversations. - AI tool judgment Has worked with or evaluated AI tools in a workflow context - not just theoretical familiarity. Can assess fit, scope a use case, and distinguish between "this saves time" and "this creates risk." Knows when to pilot and when to wait. - Cross-functional translation Can move fluently between a People Team conversation and an IT/engineering conversation - translating needs, priorities, and constraints in both directions without losing either audience. - Structured problem-solving Brings rigor to ambiguous situations. Can take a messy data or process problem and create a workable structure - clear scope, defined output, realistic timeline. - Influence without authority This role doesn't own a team or a budget. Gets things done by building trust, setting clear expectations, and making the case for prioritization. Comfortable being the person who moves things forward without having formal control over them. Nice to have: - People function knowledge Understands how HR data flows - hiring, onboarding, performance, comp, exits - and what questions leaders and HRBPs are actually trying to answer. Knows where the gaps between system data and operational reality typically live. Salary Range: New York: the pay range for this role is $148,000 - $203,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire - Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. - Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. - Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. - Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. - Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.