Description :

Company : C5i

Position Title : Senior ML/MLOPS Engineer(Azure)

Work Location : Bengaluru (Mahadevapura)

Work Mode : 5 Days Work From Office

- Required Immediate Joiner

Overview :

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5is focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the worlds largest enterprises, including many Fortune 500 companies. The companys clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices : United States | Canada | United Kingdom | United Arab of Emirates | India

Job Summary :

We are hiring a Senior Machine Learning Engineer to build and scale production-grade ML solutions on Azure. You will work on transforming supply chain and financial data into actionable insights and embedding them into our platform.

Key Responsibilities :

- Build, train, and deploy ML models at scale

- Productionize models using Azure ML and MLOps practices

- Develop data pipelines and support batch/real-time processing

- Integrate ML models into applications via APIs/microservices

- Collaborate with product and engineering teams to solve business problems

Must Have :

- Strong 5+ years experience in end-to-end ML model development and deployment

- Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)

- Hands-on experience with Azure ML stack (Azure ML, Databricks, etc.)

- Solid understanding of MLOps (CI/CD, monitoring, retraining)

- Experience integrating ML into production systems

Good to Have :

- Experience in supply chain, procurement, or financial data

- Exposure to streaming/real-time ML systems

- Experience with large-scale distributed data processing

- Awareness into GenAI/Agentic AI