Posted 10mo ago

Machine Learning Architect

@ Tiger Analytics
New Jersey, United States
RemoteFull Time
Responsibilities:Designing ML systems, Leading design discussions, Building scalable platforms
Requirements Summary:Extensive experience in ML system design, MLOps, and cloud platforms; strong Python programming; 10+ years in analytics; 4+ years coding in Python.
Technical Tools Mentioned:Python, ML libraries, scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, AWS, Azure, GCP
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Job Description

Tiger Analytics is looking for an experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Highly experienced Machine Learning Architect with a proven track record of designing and delivering end-to-end ML solutions across diverse business domains. The ideal candidate will have over 10 years of experience in data science, machine learning, and MLOps, and a deep understanding of scalable system design, model lifecycle management, and production-grade deployment pipelines.
  • This is a strategic and hands-on role, involving collaboration with data scientists, engineers, product teams, and business stakeholders to architect solutions that are robust, scalable, and aligned with business goals
  • You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.