R
ResilientcoEngineering

Data Science Lead (MLOps & Advanced Analytics)

Argentinaonsitesenior

Posted 5 days ago · via Lever

About this role

The Data Science Lead is a pivotal technical leader responsible for architecting and deploying production-grade Machine Learning (ML) and Artificial Intelligence (AI) solutions. You will steer the development of sophisticated predictive models within a robust CI/CD/CT (Continuous Training) framework. Leveraging the Azure ecosystem (Databricks, Spark, Azure ML), you will transform big raw data into scalable intelligence, ensuring that models are not just "notebook experiments" but resilient enterprise assets. Responsibilities Architectural Leadership: Lead the design and delivery of end-to-end ML systems, prioritizing MLOps principles to ensure model reproducibility, auditability, and scalability.…

Read the full description on Resilientco's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, databricks, azure, kubernetes, spark…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Argentina. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythondatabricksazurekubernetessparkpysparkpandasscikit-learntensorflowmlflowkubeflowlinearteams

More at Resilientco

See all open jobs at Resilientco