Machine Learning Architect jobs in United States
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Tiger Analytics ยท 1 month ago

Machine Learning Architect

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an experienced Principal Data Scientist. The role involves designing and delivering end-to-end ML solutions, collaborating with cross-functional teams to ensure robust and scalable architectures aligned with business goals.

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Responsibilities

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

Qualification

Machine Learning ArchitectureMLOpsCloud Platforms (AWS/GCP/Azure)Python ProgrammingML Libraries scikit-learnML Libraries TensorFlowML Libraries PyTorchData EngineeringCommunicationTeamwork Skills

Required

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)
Deep experience with MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI
Hands-on experience designing ML systems using cloud platforms like AWS, Azure, or GCP
Strong understanding of data engineering, APIs, CI/CD pipelines, and model observability
Excellent communication and stakeholder management skills

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.

Company

Tiger Analytics

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Tiger Analytics offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors.

H1B Sponsorship

Tiger Analytics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (259)
2024 (158)
2023 (93)
2022 (176)
2021 (123)
2020 (64)

Funding

Current Stage
Late Stage

Leadership Team

M
Mahesh Kumar
Founder and CEO
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Company data provided by crunchbase