Haystack
← Back to Jobs
Other

Senior ML Ops Engineer

AspireIT SolutionsDallas, TX🇺🇸United StatesPosted 8 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Role Summary

We are looking for a Senior ML Ops Engineer to own the full ML lifecycle — from model fine-tuning and training to production deployment and monitoring. This role is hands-on with GPUs, Terraform, and scalable ML systems. You'll work onsite 5 days a week in Dallas, TX.

Must-Have Skills

  • 10+ years of experience, with recent hands-on ML Ops work (within last 12 months)
  • End-to-end ML system design and implementation — from evaluation and statistical modeling to deployment and monitoring
  • ML model optimization: quantization, pruning, speculative decoding, etc.
  • System-level performance optimization — identifying and resolving bottlenecks
  • Strong programming: Java (library/package management, algorithms), Python, TensorFlow / PyTorch
  • DevOps: CI/CD pipelines, Terraform
  • Containerization: Docker, Kubernetes

Nice-to-Have Skills

  • Google Cloud Platform ML Tech Stack
  • Infrastructure as Code (IaC)
  • Big data technologies: Apache Spark, Hadoop
  • Awareness of ethical ML concerns (e.g., selection bias)
  • Model training & data analytics (anomalies, skew, discrepancies)
  • On-device ML system development

Key Responsibilities

  • Design and implement scalable, end-to-end ML systems in production environments
  • Fine-tune, train, and serve ML models with a focus on performance and reliability
  • Apply optimization techniques (quantization, pruning, speculative decoding) to improve model efficiency
  • Identify and resolve system-level bottlenecks in ML pipelines
  • Build and manage CI/CD pipelines and infrastructure using Terraform and containerization tools
  • Write clear technical documentation and communicate effectively across teams
  • Collaborate with cross-functional teams to ensure timely delivery and alignment on technical goals

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.
Rate/benefits are negotiable.
Aspire IT Solutions reserves the right to modify or withdraw this posting.

Skills

Docker
Apache
Apache Spark
Background Checks
Google Cloud
Hadoop
Java
Kubernetes
PyTorch
Python
TensorFlow
Terraform

Similar jobs