AI / ML Engineer (MLOps) :
Location : Bengaluru
Experience : 5+ Years
Job Summary :
We are looking for an experienced AI/ML Engineer with strong expertise in Machine Learning Operations (MLOps) to build, deploy, and manage production-ready machine learning systems. The ideal candidate will have hands-on experience in designing scalable ML pipelines, deploying models, implementing CI/CD workflows, and managing the end-to-end machine learning lifecycle.
Key Responsibilities :
- Design, develop, and maintain scalable machine learning pipelines to support AI initiatives.
- Build and deploy production-ready machine learning models using cloud AI services and modern MLOps practices.
- Containerize and deploy models using Docker and FastAPI for real-time and batch inference.
- Implement and manage CI/CD pipelines for ML workflows using tools such as GitHub Actions.
- Manage the complete model lifecycle, including versioning, packaging, registration, and governance using MLflow or similar tools.
- Monitor model performance, data drift, and system health, and proactively optimize models to ensure accuracy and efficiency.
- Collaborate with cross-functional teams and contribute to key technical decisions.
- Mentor junior team members and drive best practices across projects.
Required Skills :
- Strong expertise in Machine Learning Operations (MLOps).
- Advanced Python programming skills.
- Hands-on experience with ML pipeline development and deployment.
- Experience with Docker, FastAPI, and containerized deployments.
- Strong knowledge of CI/CD automation and workflow orchestration.
- Mandatory experience with MLflow and Airflow.
- Good exposure to cloud platforms and AI services.
- Thorough understanding of infrastructure requirements for MLOps implementation.
- Experience with machine learning frameworks and production environments.
- Multi-cloud experience is highly preferred.
Preferred Qualifications :
- Minimum 5 years of experience in Machine Learning Operations.
- Strong analytical and problem-solving skills.
- Ability to work in a collaborative and fast-paced environment.
- Experience in monitoring, optimizing, and scaling machine learning systems.
Pay: Up to ₹1,800,000.00 per year
Application Question(s):
- How many years of experience do you have in Machine Learning Operations (MLOps)?
- Do you have experience implementing CI/CD pipelines for machine learning projects using GitHub Actions or similar tools?
- Do you have hands-on experience with MLflow and Airflow?
- This role is for Accenture. Have you applied for any role at Accenture in the last 6 months? If yes, please mention the role and application date?
- Are you open to working from the Bengaluru location?
Work Location: In person
