Machine Learning Architect
Tiger Analytics Inc.over 1 year ago
Remote, United StatesStaff+
Responsibilities
- Design system architectures for ML and AI-driven solutions across multiple business verticals.
- Lead ML system design discussions and make high-level decisions for model serving, data pipelines, and MLOps frameworks.
- Architect scalable and secure cloud-native platforms for ML training, validation, deployment, and monitoring across AWS, GCP, and Azure.
- Build reusable ML lifecycle components and reference architectures.
- Define and enforce practices for model versioning, testing, CI/CD for ML, and rollback strategies.
- Deploy and manage machine learning and data pipelines in production.
- Develop containerization and orchestration solutions for model deployment.
- Collaborate with data scientists, software engineers, data engineers, product teams, business stakeholders, and global teams.
- Drive MLOps practices including monitoring, alerting, version control, and automated model deployment.
- Communicate technical problem context and business value while helping shape current and future strategy.
Requirements
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
- Typically 10+ years of hands-on experience developing and applying advanced analytics solutions in a corporate environment.
- At least 4 years of programming experience with Python.
- At least 7 years of experience productionizing, monitoring, and maintaining models.
- Strong programming skills in Python and ML libraries such as scikit-learn, TensorFlow, and PyTorch.
- Deep experience with MLOps tools including MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI.
- Hands-on experience designing ML systems using AWS, Azure, or GCP.
- Strong understanding of data engineering, APIs, CI/CD pipelines, and model observability.
- Excellent communication, teamwork, and stakeholder management skills.
- Experience designing and delivering end-to-end ML solutions, scalable system architectures, model lifecycle management, and production deployment pipelines.
Benefits
- Remote, full-time position with an opportunity for significant career development in a fast-growing, challenging entrepreneurial environment.
- High degree of individual responsibility and collaboration with a global team.
Tech Stack
Categories
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.