AI/ML Engineer

• *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?
• CTC
• ECTC
• Notice Period

Work Location: In person