Tiger Analytics Inc.
Machine Learning Architect
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 15 months ago · Found 1h ago
Been open since 15 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$205k a year, a typical range taken from 231 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, New Jersey, New Jersey, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
What you'll do in the role-
Design and define system architecture for ML and AI-driven solutions across multiple business verticals.
Lead ML system design discussions and make high-level design choices for model serving, data pipelines, and MLOps frameworks.
Architect scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring (AWS/GCP/Azure).
Build reusable components and reference architectures for various stages of the ML lifecycle.
Define and enforce best practices in model versioning, CI/CD for ML, testing, and rollback strategies
Deploy and manage machine learning & data pipelines in production environments.
Work on containerization and orchestration solutions for model deployment.
Participate in fast iteration cycles, adapting to evolving project requirements.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment.
Ability to work with a global team, playing a key role in communicating problem context to the remote teams
Excellent communication and teamwork skills
Basic Qualification-
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
Typically requires 10+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python.
At least 7 years of experience productionizing, monitoring, and maintaining models
Strong programming skills in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Requirements
- ·What you'll do in the role-
- ·Design and define system architecture for ML and AI-driven solutions across multiple business verticals.
- ·Lead ML system design discussions and make high-level design choices for model serving, data pipelines, and MLOps frameworks.
- ·Architect scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring (AWS/GCP/Azure).
- ·Build reusable components and reference architectures for various stages of the ML lifecycle.
Benefits
- ·This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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Free to apply, no account needed.
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