Hiring: Lead ML Ops Engineer || Dallas, TX (Onsite)

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