Ai/ML Engineer

Job Location: Pune/Delhi/Bangalore

Work Mode: Work from Office (5 days)

Experience: 4-5 years

Notice Period: Max 1 month preferred

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Job Summary

ML engineer role focused on building and deploying AI solutions using cloud-native services (AWS, Azure, GCP).

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Key Responsibilities

• Design and Implement end-to-end ML pipelines
• Data preprocessing and feature engineering
• Model optimization and deployment
• MLOps implementation
• AI Agent Building based on requirements

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Must-Have Skills:

• Programming: Python/R proficiency
• ML Frameworks: TensorFlow, PyTorch
• AWS Services: SageMaker, EC2, Lambda, S3, Bedrock, Comprehend, Rekognition
• DevOps: Docker, Kubernetes/ECS, CI/CD for ML

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Domain Knowledge:

Security: Knowledge of ML model security, data privacy regulations (GDPR, CCPA)nka.sinha@teleglobals.com

ML Operations: Model versioning, A/B testing for ML models, automated retraining
pipelines

System Design: Understanding of microservices architecture, API design, and
distributed systems

Data Engineering: ETL/ELT processes, data quality monitoring, and schema evolution

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Job Type: Full Time

HR Mail: priyanka.sinha@teleglobals.com