Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services

Industrials

1K-5K (3314)

Founded 2011

71 open positions

Links

View All Jobs

ML Ops Architect

2 months ago

United States

Full-time

Senior

Machine Learning Engineer

DevOps and Infrastructure

Ansible Apache Airflow Apache Spark AWS Azure CI/CD GCP GitHub Machine Learning MLflow MLOps Power BI Python REST API Tableau Terraform

Apply Now

Tiger Analytics

Professional Services

1K-5K

Founded 2011

View All Jobs 71

Description

Implement scalable cloud-based systems to support model inference at scale.
Deploy, manage, and maintain machine learning and data pipelines in production environments.
Build containerization and orchestration solutions for model deployment.
Collaborate with cross-functional Agile teams to develop software for big data and machine learning applications.
Implement CI/CD practices, including test automation and monitoring, for ML models and application code.
Establish best practices for MLOps, including version control, model versioning, monitoring, alerting, and automated deployment.
Manage and monitor machine learning infrastructure to ensure high availability and performance.
Build robust monitoring and logging solutions to track model performance and system health.
Troubleshoot and resolve production issues related to ML deployment, performance, scalability, and reliability.
Develop documentation, standard operating procedures, and guidelines for MLOps processes and tools.

Requirements

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
7+ years of hands-on experience developing and applying advanced analytics solutions in a corporate environment.
4+ years of experience programming with Python.
3+ years of experience designing and building data-intensive solutions using distributed computing.
3+ years of experience productionizing, monitoring, and maintaining models.
Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, and Azure Monitor.
Experience building and deploying AI and machine learning solutions at scale on AWS, Azure, or Google Cloud Platform.
Experience developing and maintaining APIs, such as REST APIs.
Experience specifying infrastructure and infrastructure as code tools such as Ansible or Terraform.
Experience with tools and technologies such as Python, Spark, Databricks, GitHub, MLflow, and Airflow.
Experience with Unix shell scripting and dependency-driven job schedulers.
Understanding of security, compliance, and data privacy requirements in ML infrastructure.
Experience with visualization tools such as RShiny, Streamlit, Python Dash, Tableau, or Power BI.
Familiarity with data privacy standards, methodologies, and best practices.

Benefits

Significant career development opportunities as the company grows.
Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
High degree of individual responsibility.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

AI/ML Engineer

Fieldwire 251-1K Construction & Engineering

Fieldwire, a Hilti construction technology company, is hiring a fully remote AI/ML Engineer in the United States to build and deploy machine learning systems that convert 360° jobsite captures into actionable insights for construction teams.

United States Full-time Mid Level Machine Learning Engineer

$152k-$220k

Agile Computer Vision Deep Learning Generative AI Machine Learning

16 hours, 43 minutes ago

Apply

16 hours, 43 minutes ago

AI Product Engineer

Kyivstar 1K-5K Wireless Telecommunication Services

Kyivstar.Tech is seeking an AI Product Engineer to turn business needs into AI-powered products by combining product ownership, full-stack development, and production delivery.

Anywhere Full-time Senior Full-stack Engineer Machine Learning Engineer

AWS Azure CI/CD Cybersecurity Docker GraphQL MLOps Node.js Python React REST API

1 day, 17 hours ago

Apply

1 day, 17 hours ago

Senior Machine Learning Engineer

Coderio 51-250 Internet Software & Services

Coderio is seeking a Senior Machine Learning Ops Engineer to architect, automate, and deploy scalable machine learning solutions while connecting data science with software engineering across international client initiatives.