Mlops Engineer - Madrid, España - Daniel J. Edelman Holdings

Daniel J. Edelman Holdings

Empresa verificada

Madrid, España

hace 3 semanas

Publicado por:

Isabel García

beBee Recruiter

Descripción

We're looking for a MLOps Engineer to help build our platform and tooling for our data science and data engineering teams.

As a MLOps Engineer, you will be key in helping our data science and machine learning team adopt best software engineering practices to our ML workflow.

Your role will also require evaluating new tech to improve performance, maintainability and reliability of our models, and stay on top of the latest advances in the MLOps field.

We're currently a Databricks + MLflow shop, with AWS services on top for the heavy/endpoint tasks (SageMaker/Lambda).

Responsibilities:

Design and implement tooling for data science and data engineering teams
Standardize practices of our ML lifecycle, including for training, versioning, deployment and monitoring of our models
Optimize ML inference pipelines, with a strong focus on running time and cost
Partner with all areas (product, data science, data engineers, dev) to collect requirements and identify pain points to the development workflow
Evaluate third party tooling to integrate in our stack

Technical Requirements:

3+ years Python development + Spark + Docker
Extensive experience building pipelines in Spark
Experience with PyTorch, HuggingFace, spaCy, scikitlearn
Extensive experience with AWS or GCP, and ideally with Databricks and MLflow (or similar tooling)

Non-Technical Requirements:

Proven track record of delivering high impact enterprise projects
Strong communication skills of converting technical concepts to business solutions
Innovative and collaborative
Highly tuned in to the MLOps community and developments

LI-RT9

Edelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.

We use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.

DXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution.

DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.