13 publicaciones de empleo destacadas de data scientist en b (¡Están contratando!)

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- Tiempo completo
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Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Staff Software Engineer
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Staff Software Engineer
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Analyst - McKinsey Digital
McKinsey & Company —Buenos Aires, Buenos Aires
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
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Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)
Talent Connect —Capital Federal, Buenos Aires

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Data Intelligence Platform Engineer

Philip Morris International -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

About the role

You will join a team responsible for building and scaling the ML platform used by 300+ data scientists and ML engineers across 60+ teams. Your work will directly impact how machine learning models are deployed to production — reliably, securely, and at scale.

You’ll spend most of your time implementing and standardising Databricks MLOps (environments, CI/CD pipelines, model monitoring) while also contributing to the evolution of a battle‑tested AWS SageMaker platform.

You day-to-day:

Design, build, and scale a production-grade ML / MLOps platform
Implement Databricks MLOps (environments, CI/CD pipelines, monitoring)
Maintain and improve the AWS SageMaker ML platform
Automate infrastructure and workflows using Python and Infrastructure‑as‑Code (Terraform)
Design solutions for a large-scale multi-tenant architecture (60+ teams, 3 AWS accounts)
Partner closely with data scientists and ML engineers to enable production model deployments
Ensure platform reliability, security, observability, and cost efficiency

Who we’re looking for:

Have 4–6 years of experience building production infrastructure for ML or data workloads
Know Databricks or AWS SageMaker deeply (Databricks experience is strongly preferred)
Are strong in AWS fundamentals (IAM, networking, compute - beyond console clicking)
Can confidently write Python automation and Terraform / IaC without relying on basic syntax searches
Understand the full ML lifecycle: training, versioning, deployment, monitoring
Can design and ship solutions independently, without constant hand‑holding
Have delivered non‑trivial CI/CD pipelines to production
Experience with workflow orchestration and CI/CD tools such as Apache Airflow and Jenkins
Have hands‑on experience with Kubernetes (EKS)

Nice to have:

Apache Airflow
OAuth / Amazon Cognito, API Gateway
Monitoring tools such as Prometheus, Grafana, New Relic
Cloud cost optimisation experience
GitOps tooling (FluxCD, ArgoCD)

Come and join us!

For Poland: In this position you will earn no less that 17 600 PLN gross monthly

Relocation support is not available for this job

Please note that only on-line applications will be taken into consideration.

Only selected candidates will be contacted.

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at [email protected]. Read more about Ethics&Compliance at PMI – here.

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data scientist empleos en b

Data Intelligence Platform Engineer

R&D Scientist - AMEA Region

Sr Mainframe Automation Engineer

Staff Software Engineer

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Staff Software Engineer

Analyst - McKinsey Digital

Senior Machine Learning Engineer

Sr Mainframe Automation Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina

Ingenieros/as en Machine Learning

Senior, Java Software Engineer

AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)

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