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Lead Machine Learning Engineer (MLOps)

IFSMadrid, Madrid, Spain

Hace más de 30 días

Descripción del trabajo

This role is all about hands-on technical prowess. Youll be working with autonomy accountability and technical brilliance. Your mission includes :

Identify High-Value AI / ML Opportunities : Spot high-value AI / ML opportunities to enhance our product offerings.
Guide AI / ML Technology Trends : Serve as our AI / ML technology expert guiding the team towards the latest AI infrastructure and delivery trends. Provide estimates and shape our AI delivery platform.
Develop and Integrate AI Projects : Craft and integrate AI projects from the ground up. Take proofs of concept through to implementation and deployment ensuring scalability and top-tier performance.
Collaborate with Cross-Functional Teams : Work closely with Data Engineers Data Scientists Software Engineers Solution Architects and Product / Program Managers to define create deploy monitor and document ML models that are both tailored and industry-leading.
Evangelize AI / ML Technology : Become an AI / ML technology evangelist. Shine on the conference stage host webinars and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders offering actionable insights that drive change.

Qualifications :

Experience : 5 years of machine learning (ML) expertise for Lead demonstrated through successfully completed projects.

AI / ML Solutions : Expertise in bringing AI / ML solutions to production including scoping design development testing deployment and monitoring.

Cloud ML Solutions : Knowledge in creating and delivering Cloud ML solutions at scale using Docker Kubernetes and cloud services (e.g. AWS Azure GCP).

Model Deployment : Experience with model deployment and serving tools like Seldon Core and KServe.

Model Monitoring : Expertise in monitoring models and evaluating metrics to drive optimizations using tools like Elastic Stack Prometheus and Alibi Detect.

Software Engineering and DevOps : Solid background in software engineering DevOps and MLOps practices with familiarity in managing infrastructure as code using tools like Terraform and Helm Charts.

Scripting : Expertise in scripting (shell) to automate tests and procedures ensuring reliability and validity of code repositories.

Pipeline Orchestration : Proficiency with pipeline orchestration tools such as Airflow Kubeflow and Argo Workflows.

Programming Skills : Proficiency in Python C# and ML libraries and tools such as Semantic Kernel LangChain Keras TensorFlow and PyTorch.

ML Experiment Tracking : Familiarity with ML experiment tracking and collaboration tools such as MLflow and Weights & Biases.

Data Handling : Skills in data handling and feature engineering with the ability to use big data technologies such as Spark Dask and Polars.

Communication Skills : Outstanding communication skills with the ability to convey complex technical concepts to non-technical stakeholders and work effectively with cross-functional teams.

Soft Skills : A results-driven attitude a passion for innovation and a proactive self-starting nature. Strong organizational skills capable of juggling multiple tasks and a strategic thinker always on the hunt for the next big thing.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work : Employment Type :

Full-time

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Experience : years

Vacancy : 1

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Machine Learning Engineer • Madrid, Madrid, Spain