Jobs Referso Partner API

Free job alerts

ML platform engineering jobs

Job titleLocation

Popular:United States Canada Viet Nam

All filtersRefine by skill, company, date, job type, industry and more

Company

Skillsjobs that use all of them

ML platform engineering

Popular

Date posted

Any timePast hourPast 24 hoursPast week

Workplace

RemoteHybridOn-site

Job type

Full-timePart-timeContractInternshipTemporary

Experienceyears required

0–2 years2–5 years5–10 years10+ years

Salary

Salary listed

Education

High schoolAssociate degreeBachelor's degreeProfessional certificatePostgraduate degree

Industryfield of work

Software & InternetHardware & ElectronicsEngineeringHealthcareLife Sciences & ResearchFinance & AccountingSales & Business DevelopmentMarketing & CommunicationsCreative & DesignCustomer Service & SupportAdministrative & OfficeHuman Resources & RecruitingLegal & ComplianceManagement & OperationsEducation & TrainingRetailHospitality & Food ServiceManufacturing & ProductionSkilled Trades & ConstructionTransportation & LogisticsFacilities, Cleaning & SecuritySocial Services & Public SectorEnergy, Environment & Agriculture

1 selected

Skill:ML platform engineering

Referso Jobs

Fresh jobs from employer career sites in the US and Europe. Search free, get alerts free, and let Referso apply when you're ready.

Job seekersSearch jobs Free job alerts Remote jobs Jobs by location Jobs by skill

RefersoAuto-apply How it works Pricing Log in

For companiesPartner API (beta)API docs Contact sales

CompanyAbout Contact Privacy Terms

© 2026 Referso. Jobs link to the original posting; Referso is not affiliated with the employers listed.Privacy Terms Request a removal

1–2 jobs· newest first

MLOps EngineerNew
EVERIENCE · Paris, France+1 more
Hybrid · Contract · Senior
AI & ML Engineer
Experity · Bengaluru, India

+10K new in the last hour

MLOps Engineer

EVERIENCE · Posted Nov 10, 2026

Paris, Île-de-France, France +1 more
Hybrid
Contract · Senior
3+ years

Apply with Referso

AI

Apply on careers page

Senior MLOps Engineer to strengthen the industrialization, deployment, and operation of Machine Learning models at scale within AWS and GCP cloud environments.

Locations (2)

Paris, Île-de-France, France
Lille, Hauts-de-France, France

Responsibilities

Conce and industrialize end-to-end MLOps pipelines.
Automate training, validation, deployment, and continuous training phases.
Deploy and operate Machine Learning models in production.
Manage model life cycle with MLflow, Model Registry, and associated tools.
Build and maintain infrastructure necessary for ML and GPU workloads.

Requirements

Nice to have: Databricks
Nice to have: Airflow
Nice to have: Feature Store
Nice to have: GPU infrastructure

Skills

MLOps ML Platform Engineering DevOps Python AWS GCP Terraform Docker Kubernetes MLflow English proficiency Model Registry Databricks Airflow GitHub Actions

See full job description

AI & ML Engineer

Experity · Posted Aug 18, 2026

Bengaluru, Karnataka, India
3+ years

Apply with RefersoAI Apply on careers page

Machine Learning Engineer focused on building, deploying, and optimizing production-grade ML and Generative AI solutions for healthcare products.

Responsibilities

Design, develop, and deploy machine learning models and AI services that power Experity’s Intelligent healthcare products.
Design and implement automated data collection, feature engineering, model training, evaluation, deployment, and monitoring ML pipelines to enable predictive analytics, recommendations, forecasting, classification, and automation.
Develop APIs and production services using Python and FastAPI.
Build and operationalize Generative AI solutions, including RAG pipelines and AI powered assistants.
Work with large-scale healthcare datasets and cloud-native data platforms.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.

Skills

Python SQL PyTorch TensorFlow Scikit-learn FastAPI

AWS API Gateway

CI/CD pipelines

MLOps practices

RAG architectures

vector databases

distributed data processing

ML platform engineering

See full job description