Hiring: Lead ML Ops Engineer || Dallas, TX (Onsite)
Dallas, Georgia, United States of America
Contract
4 weeks ago
$45 USD
Key skills
PythonJavaMachine LearningMLPyTorchTensorFlowscikit-learnMLOpsSparkApache SparkHadoopAWSAzureGoogle CloudTerraformKubernetesDockerPrometheusGrafanaELK StackCI/CDCommunicationCollaboration
About this role
Job Title: Lead MLOps Engineer
Location: Dallas, TX (Onsite)
Duration: 12+ Months Contract
Job Description
We are looking for a highly experienced Lead MLOps Engineer to drive the design, development, and scaling of machine learning infrastructure. This role requires close collaboration with data scientists and engineering teams to build robust, scalable, and efficient ML pipelines. The ideal candidate brings deep expertise in cloud platforms, DevOps practices, and containerized environments.
Required Skills & Experience
- Strong experience in ML infrastructure / MLOps / platform engineering
- Proficiency in Python and Java
- Hands-on experience with Google Cloud Platform (preferred), AWS, or Azure
- Experience with TensorFlow, PyTorch, and scikit-learn
- Solid understanding of DevOps and CI/CD pipelines
- Expertise in Docker and Kubernetes
- Experience with Terraform (IaC tools)
- Knowledge of Apache Spark and Hadoop (preferred)
- Strong problem-solving and communication skills
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Cloud certifications (Google Cloud Platform / AWS)
- Experience leading teams or large-scale infrastructure projects
- Exposure to monitoring tools like Prometheus, Grafana, ELK stack
- Contributions to open-source ML/DevOps projects