
Engineer AI
6 days ago
Solution Development
Design, build, and deploy AI/ML models and agentic systems for enterprise use cases.
Develop and maintain MLOps pipelines for model training, deployment, and monitoring.
Optimize model performance, scalability, and reliability.
Integration & Platform Enablement
Integrate AI solutions with enterprise data platforms, APIs, and cloud-native architectures.
Support the evolution of the enterprise AI platform and adoption of new technologies.
Governance & Compliance
Ensure AI solutions adhere to internal governance frameworks, security, and regulatory requirements.
Implement responsible AI principles, including explainability and bias mitigation.
Collaboration & Innovation
Work closely with Data Scientists, Engineers, and Business stakeholders to deliver high-impact solutions.
Participate in innovation initiatives, sandbox environments, and vendor collaborations.
Required Experience and Skills:
Bachelor's or Master's in CS, AI/ML, Data Science, or related field.
6+ years in AI/ML engineering, model development, and deployment in technology or financial services.
Proficiency in AI/ML frameworks, containerization (Docker/Kubernetes), cloud platforms (Azure preferred), and distributed computing.
Analytical thinking, problem-solving, teamwork, and effective communication.
Must have experience of deploying agentic AI solution in production.
Job Type: Full-time
Work Location: On the road
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