Job description

## Qualifications - Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform - Experience in developing and maintaining APIs (e.g.: REST) - Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform) - Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow) - To be successful in this role, you will need a Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field - You should have typically 7+ 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 - Additionally, you should have at least 3 years of experience designing and building data-intensive solutions using distributed computing and at least 3 years of experience productionizing, monitoring, and maintaining models - You should have experience in designing complex data & feature pipelines feeding ML models and evaluating their performance, as well as Unix Shell scripting and dependency-driven job schedulers ## Benefits - This role offers significant career development opportunities as the company grows ## Responsibilities - As a Senior ML OPS Engineer, you will be responsible for designing and implementing scalable and reliable systems leveraging cloud-based architectures, technologies, and platforms to handle model inference at scale - You will also deploy and manage machine learning & data pipelines in production environments, work on containerization and orchestration solutions for model deployment, and participate in fast iteration cycles, adapting to evolving project requirements ## Full Description Tiger Analytics is an analytics consulting firm that partners with Fortune 100 companies to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We have been recognized by market research firms like Forrester and Gartner for our business value and leadership. Job Overview: We are seeking a highly skilled Machine Learning Engineer to join our team. As a Senior ML OPS Engineer, you will be responsible for designing and implementing scalable and reliable systems leveraging cloud-based architectures, technologies, and platforms to handle model inference at scale. You will also deploy and manage machine learning & data pipelines in production environments, work on containerization and orchestration solutions for model deployment, and participate in fast iteration cycles, adapting to evolving project requirements. Key Skills: • Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. • Experience in developing and maintaining APIs (e.g.: REST). • Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform). • Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow). Qualifications: To be successful in this role, you will need a Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. You should have typically 7+ 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. Additionally, you should have at least 3 years of experience designing and building data-intensive solutions using distributed computing and at least 3 years of experience productionizing, monitoring, and maintaining models. You should have experience in designing complex data & feature pipelines feeding ML models and evaluating their performance, as well as Unix Shell scripting and dependency-driven job schedulers. What We Offer: This role offers significant career development opportunities as the company grows. The position provides a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility. Join us today and take your career to the next level!

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