{"id":132067,"url":"https://alion.io/job/razer-senior-data-scientist-generative-ai","title":"Senior Data Scientist (Generative AI)","company":{"id":3457,"name":"Razer","domain":"razer.com","url":"https://alion.io/company/razer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.949,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":119000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-02-27T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-18T07:56:05Z","board_verified":true,"closed_at":null,"days_open":234,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":234},"description":"Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.\nJob Responsibilities :\nThis role will focus on designing and developing GenAI-driven solutions for interactive systems and developer-facing tools. The ideal candidate will have strong expertise in GenAI technologies, including large language models, retrieval-augmented generation (RAG), and agentic workflows, with experience building scalable and production-ready AI services. This role involves working closely with data engineers, software engineers, and game developers to deliver robust AI tools, manage production pipelines, and enable fast iteration in real-world environments.Essential Duties and Responsibilities\nDesign, develop, and maintain GenAI solutions for developer tools and interactive applications.\n\nBuild and extend RAG-based systems, including retrieval pipelines, indexing strategies, and prompt orchestration.\n\nDevelop agentic workflows and GenAI packages to support reasoning, planning, and tool-based execution patterns.\n\nCollaborate with software engineering teams to design and manage production pipelines for GenAI microservices.\n\nWork with data engineering teams to define data schemas, ingestion pipelines, and validation strategies for structured and unstructured data used by GenAI systems.\n\nFine-tune and adapt large language models for domain-specific tasks and performance requirements.\n\nPartner with AI engineers to evaluate GenAI system performance using task-specific metrics, benchmarks, and qualitative analysis.\n\nOptimize GenAI services and pipelines for latency, scalability, reliability, and cost efficiency in production environments.\n\nAssist in the deployment, monitoring, and maintenance of GenAI services in cloud-based infrastructures.\n\nDocument system designs, workflows, experiments, and implementation details for internal knowledge sharing.\n\nStay updated on emerging trends and advancements in GenAI, LLMs, and agent-based systems through research and experimentation.\n\nConsider ethical, legal, and regulatory implications in the development and deployment of AI systems.\n\nPre-Requisites :\nQualifications\nProven experience in developing and deploying applied machine learning or Generative AI systems in real-world applications.\n\nProficiency in Python; experience with additional languages is a plus.\n\nStrong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.\n\nHands-on experience with deep learning frameworks such as PyTorch or TensorFlow.\n\nExperience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices.\n\nFamiliarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.\n\nAbility to evaluate and optimize model performance using task-specific metrics and benchmarks.\n\nStrong analytical and problem-solving skills.\n\nExcellent written and verbal communication skills across technical and non-technical teams.\n\nPreferred\nExperience building RAG microservices, agent frameworks, or modular GenAI tooling.\n\nExposure to multi-GPU training, distributed experiments, or large-scale model fine-tuning.\n\nExperience with AWS SageMaker or similar managed ML platforms.\n\nAwareness of emerging GenAI techniques, including tool-using agents, function calling, and planning-based workflows.\n\nEducation & Experience\nMaster’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).\n\n2+ years of applied experience in machine learning or Generative AI (academic or industry).\n\nTravel Requirements\nRole based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.\nRazer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.\nAre you game?","description_format":"text","description_chars":4744,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Laptops","Headphones & Audio","Computer Peripherals"],"lifecycle":[{"event":"open","at":"2026-02-27T00:00:00Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.232,"p_room":0.28,"age_days":232,"expected_fill_days":34,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/razer-senior-data-scientist-generative-ai","json_url":"https://alion.io/job/razer-senior-data-scientist-generative-ai.json","meta":{"generated_at":"2026-10-19T05:21:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3099,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3457},"rest":"https://alion.io/mcp/rest/get_company?id=3457"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frazer-senior-data-scientist-generative-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frazer-senior-data-scientist-generative-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frazer-senior-data-scientist-generative-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/razer-senior-data-scientist-generative-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frazer-senior-data-scientist-generative-ai"}]}