Dexian07.02.26
AI SCORE 8.5

Data /​ ML Ops Engineer - Remote Position

$120K–$150K/year

About the Role

We are seeking a Data / ML Ops Engineer to join our dynamic team at Dexian. This remote position allows you to work from anywhere in the United States while collaborating with a talented group of professionals. As a Data / ML Ops Engineer, you will play a crucial role in supporting data preparation and AI workflow integration for our clients' products. Your expertise will ensure that AI pipelines are performant, secure, and ready for demonstration during the validation phase.

What You'll Do

  • Prepare structured and unstructured data for RAG pipelines, ensuring data quality and integrity.
  • Configure and manage vector databases and embeddings to optimize data retrieval.
  • Collaborate with AI engineers to integrate data into demo workflows, enhancing user experience.
  • Ensure pipeline reliability, reproducibility, and observability to maintain high operational standards.
  • Support versioning, experimentation, and deployment infrastructure to facilitate continuous improvement.

Requirements

  • 3-5 years of experience in ML Ops, Data Engineering, or AI pipeline operations.
  • Familiarity with LLM tuning, prompt engineering, or semantic search.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Understanding of security and privacy in AI data pipelines.
  • Comfortable working on short-term, high-impact innovation sprints in agile environments.

Nice to Have

  • Experience with AWS Bedrock, Anthropic Claude models (Claude Sonnet 4.5, Claude Haiku 4.5, Claude Opus 4.5).
  • Knowledge of PostgreSQL (RDS), AWS S3 (versioned, encrypted).
  • Familiarity with AWS (ECS Fargate, Lambda, EventBridge), Terraform, Docker.
  • Experience with monitoring tools like Prometheus and CloudWatch.
  • Understanding of compliance standards such as NIST 800-53, FedRAMP, SOC 2, PCI DSS.

What We Offer

  • Competitive salary range of $120,000 - $150,000 per year.
  • Flexible remote work environment, allowing you to balance work and personal life.
  • Opportunities for professional development and continuous learning.
  • Access to cutting-edge technologies and tools.
  • A supportive and inclusive company culture that values diversity.

Join us at Dexian, where we connect the right talent and technology to deliver trajectory-changing results. Apply now for the Data / ML Ops Engineer remote position and be part of our mission to help everyone achieve their ambitions and goals.

Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a competitive salary, remote work flexibility, and the chance to work with cutting-edge AI technologies, making it an attractive opportunity for professionals in the field.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Dexian

Explore Dexian careers in 2026 and discover exciting job opportunities in remote, hybrid, and office roles. Utilize advanced filters to narrow down your search, track your applications effortlessly, and gain valuable company insights. Whether you're seeking your next challenge or starting your career journey, Dexian offers a wealth of positions tailored to your skills and aspirations. Start your path to success today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in building and managing scalable AI pipelines using technologies like AWS, GCP, or Azure, with hands-on experience deploying machine learning models in production environments.

Strong familiarity with containerization and orchestration tools, particularly Docker and Terraform, to automate deployment processes and manage infrastructure as code.

Experience in monitoring and optimizing data workflows using tools like Prometheus, with a proactive mindset towards troubleshooting and improving system performance in a fully remote work environment.

Learning Resources

Machine Learning Operations (MLOps) Specializationcourse

Career Path

Data / ML Ops Engineer(Now)Senior Data / ML Ops Engineer(1-2 years)Lead Data Engineer / ML Ops Architect(3-5 years)

Market Overview

Market Size 2024
$8.2B
Annual Growth
27.5%
AI Adoption
75%
Investment in ML Ops
+150%
Labour Demand for ML Ops Engineers
+40%
Avg Salary
$130K

Skills & Requirements

Required
ML OpsData EngineeringAI Pipelines
Growing in Demand
KubernetesData GovernanceMLOps Frameworks (like MLflow, Kubeflow)
Declining
HadoopTraditional ETL Tools (like Informatica)

Domain Trends

Rise of Automated ML Ops
Over 60% of organizations are adopting automated ML Ops tools to streamline deployment and monitoring, reducing time-to-market by up to 50%.
Integration of AI and DevOps
70% of companies are integrating AI into their DevOps processes, leading to increased efficiency and faster delivery of AI models.
Cloud Adoption for ML Ops
Cloud services for ML Ops are projected to grow by 35% annually, with AWS, GCP, and Azure leading the market due to their robust AI and ML capabilities.

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