MLOps Developer with Python
Location
Remote (Colombia, Uruguay)
Seniority
Middle · 3+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time
Removed from the employer's board on Nov 4, 2026. First seen by Alion on Oct 26, 2026. DataArt scores B on the Alion truth index.
Overview
Company
What next
Open roles like this one
AI/ML
Similar stack
Same company
Montevideo
$16k – $24k per year · Remote (India, IST hours) · Full-Time · Bachelor's Degree
Python
SQL
Python
FastAPI
AI/ML
LangGraph
LangChain
LoRA
Fine-tuning
Embeddings
AI Agents
NLP
NER
PEFT
Transformers
TensorFlow
Keras
PyTorch
LLM
RAG
Tokenization
Agentic Workflows
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Apply
$150k – $250k per year · Remote (United States) · Full-Time · United States
Python
Scala
Python
bandit
Databases
Databricks
AI/ML
Spark
Ray
Feature Store
Machine Learning
DevOps
Terraform
Pulumi
AWS
Kubernetes
Apply
AI Growth Engineer
3 hours ago
$160k – $280k per year · Remote (United States) · 7+ years exp · United States
Python
TypeScript
AI/ML
Vertex AI
Prompt Engineering
Function Calling
AI Agents
RAG
LLM Guardrails
Design
Webflow
Apply
Marketing Engineer (AI Agents)
3 hours ago
$160k – $280k per year · Remote (United States) · 7+ years exp · United States
Python
TypeScript
AI/ML
Vertex AI
Prompt Engineering
Function Calling
AI Agents
RAG
LLM Guardrails
Design
Webflow
Apply
Senior Machine Learning Engineer
6 hours ago
Remote (Canada) · Full-Time · 7+ years exp · Toronto
Python
AI/ML
Copilot
Cursor
Weights & Biases
Claude Code
MLFlow
Fine-tuning
Embeddings
Quantization
Knowledge Distillation
AWS Bedrock
LLM
RAG
Amazon SageMaker
Model Distillation
DevOps
CI/CD
AWS
Kubernetes
Amazon EKS
AWS Lambda
Amazon S3
Amazon ECS
Analytics
A/B Testing
Apply
Apply
Apply
Apply
Credit Policy Lead Uruguay
6 hours ago
In office · Full-Time · Montevideo
Python
SQL
Analytics
Power BI
Apply
In office · Contractor · 2+ years exp · PhD · Montevideo
Apply
DataArt is a global software engineering and consulting firm headquartered in New York that builds and modernises custom software, data platforms and cloud infrastructure for clients in finance, travel, healthcare, media and retail. Founded in 1997, it runs delivery centres across Europe, the Americas and Asia, including offices in Wroclaw, Lublin and Lodz in Poland and teams in India, and works with more than 400 enterprise clients. Its openings include senior .NET, Java, Python and frontend engineers, DevOps and site reliability engineers, data architects and data engineers, QA automation leads and solution consultants.
We are looking for a hands on MLOps and AI Ops engineer to help build, deploy, and operate ML and GenAI products on a shared Data and AI platform. You will focus on execution across model lifecycle activities, production reliability, and the infrastructure that supports both platform environments and delivered products.
Airline Platform is a cross domain Data and AI platform that enables teams to deliver reliable, secure, and scalable data and AI and ML products. It uses Google Cloud Platform, BigQuery, Docker, Kubernetes, Terraform, CI and CD pipelines, and GenAI tooling to support the full product lifecycle.
- Build, deploy, and operate ML and GenAI models and services end to end following MLOps practices
- Develop and maintain data and AI products within the platform domains
- Enable and harden the shared Data and AI platform including environment and product infrastructure
- Orchestrate and maintain reliable data and model pipelines ensuring quality and availability for downstream consumers
- Apply Infrastructure as Code with Terraform and CI and CD standards for data and AI workloads
- Instrument observability and monitoring for models and services and act on performance and cost
- Participate in design and code reviews
- Document the processes built
- Around 3 years of proven experience as an MLE, ML Ops, AI engineer, or similar role
- Strong Python with experience deploying and serving models in production
- Hands on end to end MLOps including model registry, deployment, and monitoring on generic platforms
- Experience with containerization and orchestration using Docker and Kubernetes
- Experience with Infrastructure as Code using Terraform and CI and CD practices
- Experience with Google Cloud Platform including BigQuery
- Fluency in Spanish and intermediate English for documentation and international collaboration
- Experience with GenAI engineering including LangChain, agents, Model Context Protocol, and vector databases
- Experience with API development using FastAPI or Flask
- Knowledge of data platform fundamentals including lakehouse and warehouse concepts, streaming, SQL transformations, and pipeline orchestration
- Awareness of data governance, cataloging, security, and IAM
- Experience with observability tooling such as Prometheus, Grafana, or Datadog
What next
Get the next one before it closes
It was open for 10 days. 3,000 AI/ML roles were posted this week.
A free account puts the new ones in your feed the day they appear, matched to your level and your pay.
Free forever. No card. Under a minute.
This is one of many
2,135,048 more open roles from verified company boards, updated every day.