AI Engineer, Ops at OneMagnify in Chennai
- Company: OneMagnify
- Location: Chennai
- Posted: Sep 24, 2026
- Type: Full-time
- Experience: 7+ years
Overview
(A) Experience in Automotive and B2B areas. Designing the data pipelines and engineering infrastructure enterprise machine learning systems at scale (B) Take offline models data scientists build and deploy them into machine learning
Responsibilities
- (A) Experience in Automotive and B2B areas. Designing the data pipelines and engineering infrastructure
- enterprise machine learning systems at scale
- (B) Take offline models data scientists build and deploy them into machine learning
- production system using Databricks
- (C) Identify and evaluate new technologies to improve performance, maintainability,
- and reliability of production models including new features in Databricks
- (D) Apply software engineering rigor and best practices to machine learning, including
- CI/CD, automation, etc.
- (E) Support model development, with an emphasis on auditability, versioning, and data
- security
- (F) Facilitate the development and deployment of proof-of-concept machine learning
- systems
- (G) Communicate across technical and business teams to build requirements and track
- progress
Requirements
- (A) Proven experience managing machine learning models from development to
- production, including model deployment, monitoring, retraining, and scaling
- (B) Strong understanding of the machine learning lifecycle, including model versioning,
- and continuous integration/continuous delivery (CI/CD) for ML models
- (C) Expertise in cloud platforms such as AWS, GCP, or Azure for managing scalable ML
- infrastructure
- (D) Experience with containerization (Docker, Kubernetes) and orchestration of ML
- pipelines
- (E) Knowledge of infrastructure as code (Terraform, CloudFormation) and CI/CD tools
- (Jenkins, GitLab, etc.).
- (F) Solid understanding of machine learning algorithms, data preprocessing, and
- feature engineering.
- (G) Experience with ML frameworks and libraries
- (H) Strong programming skills in Python and familiarity with data engineering pipelines.
- (A) Bachelor’s degree from a four-year college or university in Information
- Management, Computer Science or Business Administration or a relevant area of
- study
- (B) (C) (D) (E) 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.
Skills
Required
- Machine learning model management
- Machine learning lifecycle
- Model versioning
- CI/CD for ML models
- Cloud platforms (AWS, GCP, Azure)
- Containerization (Docker, Kubernetes)
- Orchestration of ML pipelines
- CI/CD tools (Jenkins, GitLab)
- Machine learning algorithms
- Data preprocessing
- Feature engineering
- ML frameworks and libraries