"Alerted.org

Job Description

A client of Insight Global is looking to add a MLOps Engineer to their team. This role is a 12-month contract-to-hire position and requires remote work from India. As an MLOps Engineer, your day-to-day responsibilities will involve designing and managing machine learning operations pipelines using MLflow, Databricks ML Ops, and CI/CD pipelines. You will collaborate with data scientists to integrate machine learning models into production environments and automate model deployment and monitoring using Dataiku and other tools. Ensuring the scalability and reliability of machine learning workflows is crucial, and you will utilize Azure OpenAI and Argo CD for advanced automation and orchestration. Maintaining and optimizing cloud infrastructure for machine learning applications will be part of your daily tasks, along with monitoring the performance of machine learning models and workflows. Troubleshooting issues related to machine learning pipelines and infrastructure will be a regular part of your role, and you will maintain comprehensive documentation of processes, configurations, and best practices.

This role will pay between 8 LPA and 15 LPA. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision. Employees in this role are also entitled to 11 Paid Holidays, paid sick leave and/or other paid time off as provided by applicable law.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

MLOps Tools: MLflow, Databricks ML Ops pipelines, CI/CD pipelines, Dataiku.

Programming: Python, YAML scripting for pipeline automation.

Terraform (highly recommended).

Azure OpenAI.

Argo CD (beginner).

Azure Cloud proficiency: Azure Resource Management, AKS, ACS, Azure Functions, Azure Security.

Azure Resources: Azure App services, Data Factory, and Azure Data Bricks (highly recommended).

Networking: Network Security Groups, Virtual networks, Route Tables (highly recommended).

Monitoring: Azure Monitor, Application Insights.

Security: Azure Key Vault, RBAC, and secure CI/CD practices, IAM. Azure ADO CI/CD pipelines.

GitHub Actions.

ARM Templates.

API skills. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].