Sr. MLOps Engineer

Company : eTeam, Inc.

Location : Plano, TX, 75086

Posted Date : 19 October 2025

Job Details

Job Title: Sr. MLOps Engineer
Job Location: Plano, TX
Job Duration: 12+ Months
Team is seeking WS MLOPS engineer to help configure, deploy and operationalize platforms for data science.
Responsibilities:

Develop and implement automated pipelines for deploying, monitoring, and updating machine learning models in production environments.
Design and maintain continuous integration/continuous deployment (CI/CD) pipelines specifically for ML models, ensuring smooth transitions from development to production.
Monitor model performance in real-time, detecting any degradation or anomalies, and implement automated processes for model retraining and versioning.
Manage and optimize the infrastructure required for ML workflows, including cloud environments (AWS), containerization (Docker), and orchestration (Kubernetes).
Work closely with data scientists to understand model requirements, and with engineering teams to ensure the integration of models into production systems.
Ensure model and data versioning are managed effectively, ensuring the reproducibility of experiments and models.
Ensure that the ML models are deployed securely and comply with relevant regulatory requirements (e.g., data privacy laws, security standards).
Document processes, workflows, and best practices for model deployment, monitoring, and maintenance, ensuring knowledge sharing across teams.

Primary Skills:

Cloud Platforms: AWS: S3, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
CI/CD Tools: GitHub Actions
Container Technologies: Docker, Kubernetes
Sagemaker
Scripting Languages: Python, Bash
Automation: Terraform and Python
Datadog, CloudWatch
Devops pipeline creation, deployment

Nice to have:

Type Script
Databricks, Glue

Qualifications:

Bachelors degree with 8+ years of overall experience in building cloud infrastructure services, minimum of 5+ years of experience in designing, building, and maintaining MLOPS pipeline.
Results-oriented MLOPS professional with a strong background in machine learning, operations, and DevOps. Proven track record of deploying and managing machine learning models at scale. Adept at collaborating with cross-functional teams to deliver efficient and scalable solutions. Proficient in programming languages such as Python, and well-versed in a range of DevOps tools, cloud services, database technologies, generative AI, Langchain, LLM, LLMOPS, and MLOPS.
Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
Knowledge in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
Experience working in the SCRUM Environment.