TL;DR
GenAI Data Scientist (AI): Designing, building, and scaling machine learning infrastructure and GenAI applications with an accent on production-level LLM systems, RAG pipelines, and end-to-end ML solutions. Focus on optimizing performance, reliability, and integrating external APIs for business outcomes.
Location: Hybrid, Austin, TX, US. Candidates must be authorized to work in the job posting location on a full-time basis without visa sponsorship.
Salary: $68,205 - $126,668 per year
Company
hirify.global is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games, focused on delivering performance for B2B customers and joy to players.
What you will do
- Develop and deploy GenAI-based applications using enterprise frameworks and custom pipelines.
- Implement and optimize RAG and Agentic systems using vector search techniques.
- Handle ML pipelines and infrastructure for training, inference, monitoring, and tracking.
- Collaborate with Data Scientists and Machine Learning Operations to scale prototypes to production.
- Work closely with data engineers and software engineers to deploy models into production systems.
- Present recommendations and results clearly, tailored to the relevant audience.
Requirements
- BSc in mathematics, statistics, computer science, or relevant experience (MS preferred).
- Additional training and experience in Data Science, BI, Data Visualization, Analytics, Programming relevant to the gambling industry.
- Strong knowledge of SQL, Python, R.
- Basic understanding of version control systems (e.g., Git, GitHub).
- Basic familiarity with cloud infrastructure (Azure, GCP, AWS).
- Working knowledge of reporting visualization tools.
Culture & Benefits
- World Leader in Gaming Entertainment.
- Robust benefits package including health, dental, and vision insurance.
- Paid time off and a 401(k) plan with employer matching.
- Global career opportunities.
- Commitment to responsible gameplay, governance, employee wellbeing, and sustainability.
- Diverse and inclusive environment, valuing individual differences.
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