Hello,


*Greetings!*



This is *Avanish* from *NLB Services*. We are a global recruitment company
with a specialization in hiring IT professionals.  One of our clients is
looking for a* MLOps Engineer *in *Austin, TX (Onsite)**.*



*Position: MLOps Engineer*

*Location: **Austin, TX (Onsite)*

*Type: Contract*



*Job Description:*



*Note – Look for an MLops engineer with strong experience in AWS, GCP, and
CI/CD tools like Ansible etc.*


We are seeking a skilled and motivated MLOps Engineer to join our dynamic
team. The ideal candidate will be responsible for developing, implementing,
and maintaining machine learning pipelines and infrastructure, ensuring the
efficient and reliable deployment of ML models into production
environments. You will collaborate closely with data scientists, software
engineers, and IT professionals to optimize and automate the machine
learning lifecycle.



*Key Responsibilities:*

·           Design, implement, and manage scalable ML model deployment
pipelines.

·           Automate the deployment process using CI/CD tools.

·           Monitor, troubleshoot, and maintain deployed models in
production.

·           Develop and maintain infrastructure for data ingestion,
processing, and storage. Optimize compute resources for cost and
performance efficiency.

·           Ensure high availability and scalability of ML infrastructure.

·           Provide support for model retraining and updates.

·           Implement monitoring and logging solutions for model
performance and data quality.

·           Optimize the performance of large language models (LLMs) in
production environments.

·           Implement techniques for efficient inference and fine-tuning of
LLMs.

·           Monitor and improve the scalability and latency of LLM
deployments.



*Qualifications:*

·           Education: Bachelor's or Master's degree in Computer Science,
Engineering, or a related field.



*Experience:*

·           Proven experience as an MLOps Engineer or in a similar role.

·           Hands-on experience with ML model deployment and lifecycle
management.

·           Proficiency in programming languages such as Python, Java.

·           Experience with ML frameworks such as TensorFlow, and PyTorch.

·           Familiarity with containerization and orchestration tools
(Docker, Kubernetes).

·           Experience with cloud platforms (AWS, GCP, Azure).

·           Experience with large language models (LLMs) and their
performance optimization.



*Thanks & Regards,*

*Avanish Pandey*

*---------------------------------------*

*Next Level Business Services, Inc.*

*avanish.pan...@recruiter.nlbtech.com*
<avanish.pan...@recruiter.nlbtech.com>

*(904) 290-8616  || **LinkedIn*
<https://www.linkedin.com/in/avanish-pandey-83897493/>

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