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Hello

Hope you're doing well.

I am reaching out to you regarding a job opportunity with one of our clients. Let me know your thoughts.

Platform ML Engineer || Mount Laurel, NJ (Hybrid,) ||  C2C

USC || Duration : 6+ MOS || Working with Prime Vendor

Experience : 8 + Years

About the Role

We are seeking a highly skilled Machine Learning Engineer with hands-on experience in designing and implementing CI/CD pipelines and writing Terraform scripts from the ground up. This role is ideal for someone with a strong engineering mindset and 2+ years of experience working with AI/ML models and systems. You will be responsible for building scalable, automated ML workflows that support the full model lifecycle—from training to deployment and ongoing monitoring.

Responsibilities :

•            Design and build robust CI/CD pipelines for end-to-end machine learning workflows

•            Write Terraform scripts from scratch to manage infrastructure-as-code in a scalable and cloud-agnostic manner

•            Implement and maintain ML lifecycle workflows, including model training, deployment, performance monitoring, and retraining

•            Automate model drift detection and trigger retraining to maintain model accuracy

•            Create self-service capabilities for internal stakeholders to manage and deploy ML models independently

•            Collaborate with data scientists and DevOps teams to integrate models with REST APIs and third-party services

•            Oversee model release processes, artifact management, and infrastructure provisioning

•            Ensure seamless deployment of models across cloud environments without vendor lock-in

Requirements :

•            Minimum 2 years of hands-on experience in AI/ML engineering

•            Proficient in building CI/CD pipelines and infrastructure automation

•            Strong experience writing Terraform scripts from scratch (not templated or assisted)

•            Familiarity with ML Ops practices including model monitoring, retraining, and lifecycle governance

•            Experience with REST APIs and serving models in production environments

•            Knowledge of cloud-agnostic architecture and container orchestration tools

•            Strong collaboration skills and ability to work cross-functionally with engineering and data science teams