Machine Learning Engineer

Job Description

Job Description (JD) – MLOps Engineer | ACV Auctions
Company

ACV Auctions (ACV) is a technology-driven automotive marketplace that enables dealers to buy and sell used vehicles online through AI, machine learning, and data-driven applications. The company’s technology organization includes Product Management, Software Engineering, Data Science, Machine Learning, DevOps, and Program Leadership teams.

Job Title

MLOps Engineer

Location
Chennai, India
Employment Type
Full-Time
Job Summary

ACV is seeking an experienced MLOps Engineer to join its growing Machine Learning team. The role focuses on building scalable infrastructure for machine learning applications, automating ML workflows, deploying production models, and monitoring model performance.

The ideal candidate should have strong experience in Python, cloud platforms, Kubernetes, Docker, REST APIs, and modern MLOps tools.

Key Responsibilities
Machine Learning Operations
Build, automate, deploy, and monitor machine learning applications.
Support end-to-end ML software development lifecycle.
Collaborate closely with Machine Learning Engineers.
Improve reliability and scalability of ML systems.
Data Engineering
Design and develop data pipelines for ML models.
Process and prepare datasets for training and inference.
Ensure reliable data flow into production ML systems.
Model Deployment
Deploy trained ML models into production.
Build scalable inference services.
Manage production releases of ML applications.
API Development
Develop REST APIs for serving ML model predictions.
Build scalable backend services using:
FastAPI
Flask
Monitoring & Maintenance
Monitor deployed ML models.
Track model performance and drift.
Ensure high system availability.
Troubleshoot production issues.
Cloud & Infrastructure
Build and maintain cloud-native ML infrastructure.
Manage containerized deployments.
Support CI/CD automation for ML applications.
Required Qualifications
Graduate degree in a computational field or equivalent professional experience.
5+ years of relevant industry or research experience in Machine Learning projects.
Required Technical Skills
Programming
Python
SQL
API Frameworks
FastAPI
Flask
Distributed Systems
Redis (Distributed Caching)
Apache Kafka (Real-Time Data Streaming)
Cloud Platforms

Experience with one or more:

AWS
Google Cloud Platform (GCP)
Containerization & Orchestration
Docker
Kubernetes
DevOps
CI/CD Pipelines
Deployment Automation
Infrastructure Management
Preferred Skills

Experience with MLOps platforms such as:

Vertex AI
Ray
Feast
Kubeflow
MLflow

Additional preferred experience:

ML model training
Feature engineering pipelines
Data pipeline development
Production machine learning systems
Soft Skills
Strong analytical thinking
Problem-solving mindset
Team collaboration
Self-motivation
Effective communication
Ability to understand business context and stakeholder needs
Customer-centric approach
Core Competencies
MLOps
Machine Learning Infrastructure
Cloud Computing
Data Engineering
Model Deployment
API Development
DevOps Automation
Production Monitoring
Experience Required
5+ years in Machine Learning, MLOps, Data Engineering, or related roles.
Company Values

ACV emphasizes the following core values:

Trust & Transparency
People First
Positive Experiences
Calm Persistence
Never Settling