DevOps Architect

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

Job Title: Senior Engineer / Architect, DevOps - AI, R&D

Location: Bengaluru, Karnataka, India (hybrid)

About o9 Solutions:
o9 Solutions is a leading enterprise AI software platform provider for transforming planning and decision-making capabilities. We are building the next generation of AI-powered solutions to help businesses optimize their operations and drive innovation. Our Next-Gen AI R&D team is at the forefront of this mission, pushing the boundaries of what's possible with artificial intelligence.

About the Role...

We are looking for a highly skilled and motivated DevOps Engineer to join our Next-Gen AI R&D team. In this role, you will be instrumental in developing and implementing MLOps strategies for Generative AI models, designing and managing CI/CD pipelines for ML workflows, and ensuring the robustness, scalability, and reliability of our AI solutions in production environments.

What you will do in this role:
- Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability.- Design and manage CI/CD pipelines specialized for ML workflows, including the deployment of generative models such as GANs, VAEs, and Transformers.- Monitor and optimize the performance of AI models in production, employing tools and techniques for continuous validation, retraining, and A/B testing.- Collaborate with data scientists and ML researchers to understand model requirements and translate them into scalable operational frameworks.- Implement best practices for version control, containerization, infrastructure automation, and orchestration using industry-standard tools (e.g., Docker, Kubernetes).- Ensure compliance with data privacy regulations and company policies during model deployment and operation.- Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance.- Stay up-to-date with the latest developments in MLOps and Generative AI, bringing innovative solutions to enhance our AI capabilities.

What you'll have..

Must Have:
- Minimum 3+ years of hands-on experience developing and deploying AI models in production environments with 1+ year of experience in developing proofs of concept and prototypes.- Strong background in software development, with experience in building and maintaining scalable, distributed systems.- Strong programming skills in languages like Python and familiarity in ML frameworks and libraries (e.g., TensorFlow, PyTorch).- Knowledge of containerization and orchestration tools like Docker and Kubernetes.- Proficiency with MLOps tools such as MLflow, Kubeflow, Airflow, or similar for managing machine learning workflows and lifecycle.- Practical understanding of generative AI frameworks (e.g., HuggingFace Transformers, OpenAI GPT, DALL-E).- Expertise in containerization technologies like Docker and orchestration tools such as Kubernetes for scalable model deployment.- Expertise in MLOps and LLMOps practices, including CI/CD for ML models.

Nice to Have:
- Familiarity with cloud platforms (AWS, GCP, Azure) and their ML/AI service offerings.- Experience with continuous integration and delivery tools such as Jenkins, GitLab CI/CD, or CircleCI.- Experience with infrastructure as code tools like Terraform or CloudFormation.-
- Familiarity with experiment tracking and model registry tools.- Knowledge of high-performance computing and parallel processing techniques.- Contributions to open-source MLOps or GenAI projects.

What we’ll do for you:
- Flat organization: With a very strong entrepreneurial culture (and no corporate politics).- Great people and unlimited fun at work.- Possibility to really make a difference in a scale-up environment.- Support network: Work with a team you can learn from every day.- Diversity: We pride ourselves on our international working environment.- Work-Life Balance:- Feel part of A team:
How the process works...- Respond with your interest to us.- We’ll contact you either via video call or phone call - whatever you prefer, with the further schedule status.-
- There will be 2-3 rounds of technical discussion followed by a Managerial round. Good luck

Why Join o9 Solutions?

At o9, you'll be at the forefront of AI innovation, working with a dynamic team that's shaping the future of enterprise solutions. We offer a stimulating and rewarding environment where your contributions dire