
Artificial Intelligence • B2B • Consulting
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
September 20
🌽 Illinois – Remote
🏖️ New Jersey – Remote
+1 more states
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • B2B • Consulting
Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.
• Collaborate with cross-functional teams to design and deploy ML models. • Develop reusable, scalable code for AI/ML applications. • Leverage GCP services to build end-to-end machine learning pipelines. • Optimize models for performance and scalability using Vertex AI. • Build and deploy scalable AI solutions and productionize ML models. • Develop APIs and implement CI/CD for ML deployments.
• Strong proficiency in Google Cloud Platform (GCP) services, including data engineering and machine learning tools. • Hands-on experience with model training, deployment, and optimization using Google Vertex AI. • Proven ability to design, build, and productionize machine learning models. • Skilled in developing robust APIs for seamless integrations. • Experience in Python-based applications and implementing CI/CD pipelines.
• Work remotely while contributing to cutting-edge projects. • Collaborate with a dynamic team passionate about AI/ML innovation. • Opportunity to work with the latest Google Cloud technologies. • Significant career development opportunities as the company grows. • Small, fast-growing, challenging and entrepreneurial environment with high degree of individual responsibility.
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