ML Ops Engineer

The team is focused on delivery results for our client, FordDirect, in AI, Machine Learning, and Data Engineering. This role will work on our Co-Pilot project supporting generative AI deployments and best practices.
THE TEAM IS LOOKING FOR AN EXPERIENCE ML OPS ENGINEER TO WORK IN A TECHNICAL AND CLIENT FACING ROLE SUPPORTING OUR AI AND MACHINE LEARNING PROGRAM.

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. 

OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.

The team is focused on delivery results for our client, FordDirect, in AI, Machine Learning, and Data Engineering. This role will work on our Co-Pilot project supporting generative AI deployments and best practices.

The team is looking for an experience ML Ops Engineer to work in a technical and client facing role supporting our AI and Machine Learning program.About You: 

• Interested in Generative AI and Customer Data
• Outstanding attention to detail and strong adherence to process
• A deep understanding of data science, AI, and machine learning processes
• Ability to work as part of a large team and collaborate across units

What you’ll do:

• Design the data pipelines and engineering infrastructure to support FordDirect enterprise machine learning systems at scale 
• Take offline models data scientists build and deploy them into machine learning production system using Databricks 
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of production models including new features in Databricks 
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. 
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems 
• Communicate across technical and business teams to build requirements and track progress

What you’ll need:

• Proven experience managing machine learning models from development to production, including model deployment, monitoring, retraining, and scaling
• Strong understanding of the machine learning lifecycle, including model versioning, and continuous integration/continuous delivery (CI/CD) for ML models
• Expertise in cloud platforms such as AWS, GCP, or Azure for managing scalable ML infrastructure
• Experience with containerization (Docker, Kubernetes) and orchestration of ML pipelines
• Knowledge of infrastructure as code (Terraform, CloudFormation) and CI/CD tools (Jenkins, GitLab, etc.).
• Solid understanding of machine learning algorithms, data preprocessing, and feature engineering.
• Experience with ML frameworks and libraries 
• Strong programming skills in Python and familiarity with data engineering pipelines
• Bachelor’s degree from a four-year college or university in Information Management, Computer Science or Business Administration or a relevant area of study 
• Data analytics or business intelligence experience (7 years).
• Model development, monitoring and production (5+ years).
• Management of analytics initiatives (3+ years). 
• Experience with various data analytics tools.

Benefits

We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.

About us

Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team