ML Engineer: Production ML & MLOps Specialist

AVP VIGILANT TECHNOLOGY PVT LTD

San Francisco (CA)

Hybrid

USD 120,000 - 250,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
401(k) and retirement benefits
Paid time off

Job summary

AVP Vigilant Technology Pvt Ltd is seeking a Machine Learning Engineer in San Francisco, CA with 2-8 years of experience to design, build, deploy, and optimize ML solutions across data, model development, software engineering, and MLOps. You will work with cross-functional teams to productionize models, monitor performance and drift, and implement CI/CD.

The role offers a hybrid work option and a competitive salary depending on experience.

Qualifications

  • 2-8 years of experience in Machine Learning Engineering, Software Engineering, Data Science, or a related field.
  • Strong proficiency in Python and experience with ML libraries such as scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience building and deploying ML models into production.
  • Experience with MLOps, ML pipelines, model monitoring, and CI/CD.
  • Strong SQL and data-processing skills.

Responsibilities

  • Develop, train, evaluate, and optimize machine learning models.
  • Build scalable ML pipelines for data preparation, training, validation, and deployment.
  • Productionize ML models and monitor performance, reliability, and model drift.
  • Implement MLOps practices for automated model deployment and lifecycle management.
  • Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams.
  • Improve model accuracy, scalability, latency, and overall system performance.
  • Design APIs and services for integrating ML models into production applications.
  • Implement testing, CI/CD, version control, and automated ML workflows.
  • Troubleshoot production ML systems and continuously improve reliability.
  • Stay current with emerging machine learning, MLOps, and AI technologies.

Skills

Python
ML libraries
SQL
Cloud platforms
CI/CD
MLOps
Software engineering

Tools

Kubernetes
Docker
Airflow
MLflow
Kubeflow

Job description

AVP Vigilant Technology Pvt Ltd is seeking a Machine Learning Engineer in San Francisco, CA with 2-8 years of experience to design, build, deploy, and optimize ML solutions across data, model development, software engineering, and MLOps. You will work with cross-functional teams to productionize models, monitor performance and drift, and implement CI/CD.

The role offers a hybrid work option and a competitive salary depending on experience.

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