Lead AI / ML Engineer

About The Company :

ARA's client is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology know how, domain, and process expertise. The accolades have been garnering can be attributed to their undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of their esteemed customers.

The Role : AI / ML Lead Engineer

Key Responsibilities :

• Design and implement automated systems for deploying, monitoring, and retraining machine learning models across development, testing, and production environments.
• Develop scalable ML tools and services to support model training, inference, and lifecycle management tailored to client-specific needs.
• Establish and optimize MLOps pipelines using orchestration tools (e.g., MLflow, Kubeflow) and CI / CD practices to enable continuous integration and delivery of ML models.
• Implement systems for real-time monitoring, alerting, and logging of data drift, model drift, and performance degradation.
• Work closely with data scientists, data engineers, and DevOps teams to ensure robust integration and deployment of ML solutions.
• Stay updated with emerging technologies and tools in the AI / ML and MLOps space to enhance solution reliability and scalability.
• Leverage cloud services (AWS, GCP, Azure) for secure and scalable model deployment using containerized environments (e.g., Docker, Kubernetes).
• Diagnose and resolve issues across the ML lifecycle, from data ingestion and feature engineering to model deployment and serving.
• Document technical processes, contribute to internal knowledge bases, and support MLOps maturity efforts across the organization.
• Participate in internal research initiatives and contribute to the design of reusable frameworks, tools, and accelerators for MLOps.

Skills Required :

Qualifications & Experience :

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