
1001 - 5000 funcionários
Fundada em 2011
🤖 Inteligência Artificial
🤝 B2B
Artificial Intelligence • B2B • Consulting
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
🕒 Maio 15
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2011
🤖 Inteligência Artificial
🤝 B2B
Artificial Intelligence • B2B • Consulting
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
• Work on the latest applications of data science to solve business problems • Work directly with client stakeholders to translate business problems into high level analytics solution designs • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably • Design and develop machine learning and Generative AI solutions using RAG • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph • Develop agentic AI workflows for automation, insights generation, and decision support • Implement Document Intelligence solutions for extracting insights from unstructured data • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
• 6+ years of experience working as a GenAI Data Science. • Proficiency in Python and SQL • Experience with MLflow and model lifecycle management • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) • Experience with Bedrock, JumpStart, HuggingFace • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science. • Experience building end-to-end ML pipelines in production • Familiarity with CI/CD pipelines, monitoring, and model governance • Ability to design scalable and reliable AI systems • Bachelor's in Business Analytics or equivalent work experience.
• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. • Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Candidatar-se🕒 Maio 15
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🗣️🇺🇸🇬🇧 Inglês obrigatório