Remote EST - Immediate Hiring - AI/ML OPS lead - Contract

Overview

On Site
Accepts corp to corp applications
Contract - Term Contract

Skills

Devops
ELK
GCP
Grafana
Tensorflow
MLOps
AL/ML

Job Details

Hi ,

Our client is looking AI/ML OPS lead For Contract project in Remote (EST) below is the detailed requirements.

Kindly share your Updated Resume to proceed further.

Job Role: AI/ML OPS lead

Location: Remote (EST)

Mode of Hiring: Contract

Job Description:

We are seeking an experienced AI/ML Ops Lead to drive the operationalization of machine learning solutions at scale. In this role, you will be the critical bridge between data science and production engineering-responsible for building robust, secure, and scalable ML infrastructure. You will lead efforts to automate workflows, streamline deployments, and ensure ML models perform reliably in dynamic environments.

Responsibilities:

  • Design and implement CI/CD pipelines tailored for ML model lifecycle.
  • Automate workflows for model training, testing, deployment, monitoring, and rollback.
  • Partner with data scientists to transition ML prototypes into production-ready systems.
  • Manage model versioning, reproducibility, lineage, and deployment governance.
  • Ensure systems meet standards for scalability, reliability, security, and compliance.
  • Monitor production models for performance degradation, data drift, and retraining triggers.
  • Continuously optimize infrastructure for cost-efficiency and performance.

Key Skills & Qualifications:

  • Bachelor's degree in Computer science or related field, with minimum 12+ Years of relevant experience
  • 8 10+ years in DevOps, MLOps, or Machine Learning Engineering.
  • Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
  • Proficient in containerization (Docker) and orchestration (Kubernetes).
  • Hands-on experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
  • Deep understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).
  • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK).
  • Excellent communication and teamwork skills.
  • Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail

Preferred Qualifications:

  • Familiarity with ML feature stores and model registries (e.g., MLflow, Feast, SageMaker Model Registry).
  • Working knowledge of responsible AI, data privacy, and governance best practices.
  • Experience with infrastructure-as-code tools (e.g., Terraform, Helm) is a plus.
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