MLOps Lead

Wits Innovation Lab; Gurugram District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Wits Innovation Lab is seeking an experienced MLOps Lead to design, deploy, and manage reliable ML deployment pipelines within enterprise or government contexts. You will lead CI/CD for AI/ML models, drive automation across development, testing, deployment, monitoring, and updates, and oversee containerized microservice architectures.

Collaborate with data scientists, ML engineers, and DevOps teams to enhance scalability, reliability, and efficiency of ML systems, establishing robust monitoring

Qualifications

• 7–10 years of experience in ML operations or DevOps engineering.
• 4+ years building CI/CD pipelines for AI/ML deployments in enterprise/government contexts.
• Proven experience with containerized and microservice architectures.

Responsibilities

• Lead the design and implementation of MLOps processes and deployment pipelines.
• Build and maintain CI/CD pipelines for AI/ML model deployment.
• Enable automation across model development, testing, deployment, monitoring, and updates.
• Implement and manage containerized and microservice-based architectures.
• Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment.
• Improve scalability, reliability, and operational efficiency of ML systems.
• Establish monitoring and maintenance practices for deployed models and pipelines.

Skills

CI/CD pipelines

Containerization

Automation

Collaboration with data scientists

Shell scripting

Python

DevOps culture

Education

B.Tech / M.Tech / MS in CS / Data Engineering / AI

Tools

AWS DevOps Engineer

Azure DevOps Expert

GCP Professional ML Engineer

Job description

We are seeking an experienced MLOps Lead to build and manage reliable machine learning deployment pipelines, streamline model operationalization, and support scalable AI/ML solutions within enterprise or government environments.

Key Responsibilities

• Lead the design and implementation of MLOps processes and deployment pipelines.
• Build and maintain CICD pipelines for AI/ML model deployment.
• Enable automation across model development, testing, deployment, monitoring, and updates.
• Implement and manage containerized and microservice-based architectures.
• Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment.
• Improve the scalability, reliability, and operational efficiency of ML systems.
• Establish monitoring and maintenance practices for deployed models and pipelines.

Required Qualifications

• B.Tech, M.Tech, or M.S. in Computer Science, Data Engineering, AI, or a related discipline.
• Certifications in cloud DevOps or MLOps platforms, such as AWS DevOps Engineer, Azure DevOps Expert, or GCP Professional ML Engineer, are highly desirable.
• Contributions to MLOps or DevOps open-source projects are preferred.

Required Experience

• 7–10 years of experience in machine learning operations or DevOps engineering.
• Minimum 4 years of experience building CI/CD pipelines for AI/ML model deployment in enterprise or government ecosystems.
• Proven experience with containerized and microservice architectures.

Required Skills

shell scripting jenkins Microservices architecture python Mlops AI/ML