Talent Hackers
Talent Hackers
Talent Hackers — Catenon тобына кіретін, технология және цифрлық сала мамандарын іздеу мен жұмысқа орналастыруға бағытталған рекрутинг компаниясы. 2019 жылы құрылған компания деректерге негізделген талдау мен ақылы ұсыным моделін пайдаланып, корпоративтік клиенттерді сәйкес технология мамандарымен байланыстырады және осы үдеріске үлес қосатын адамдарды марапаттайды. Шағын команда негізінен технология саласындағы кадрларды іріктеумен айналысады, әсіресе Мадридтегі гибридті жұмыс мүмкіндіктеріне назар аударады.

Machine Learning Engineer (Hybrid, Madrid or Barcelona)

Design and industrialize AI models and solutions for a technology company connected to a Spanish financial group. Build ML, LLM, RAG, and MLOps capabilities in Madrid or Barcelona.

Сипаттама

  • Design and implement Machine Learning and Artificial Intelligence use cases
  • Develop, deploy, and productionize ML models
  • Build batch and real-time inference systems
  • Develop solutions using LLMs, RAG, and intelligent agents
  • Create and integrate APIs and services for AI models
  • Test, monitor, and optimize model performance
  • Contribute to code reviews and software engineering best practices
  • Document technical architectures and implementations
  • Collaborate with Data Scientists, Data Engineers, IT architects, and DevOps specialists
  • For senior/master-level profiles: design complex, scalable AI architectures, define industrialization and MLOps patterns, review architectures, make technical decisions, and mentor other ML Engineers

Талаптар

  • Degree in Computer Engineering, Computer Science, Mathematics, Physics, or a related discipline
  • Experience developing solutions with Python and object-oriented programming
  • Strong knowledge of Machine Learning
  • Experience with frameworks such as PyTorch, TensorFlow, or Hugging Face
  • Experience with Git and sound software development practices
  • Knowledge of Docker and containerized environments
  • Experience with or knowledge of REST APIs and databases
  • Ability to work effectively with multidisciplinary teams
  • Interest in developing AI solutions that reach production
  • For senior/master-level positions: experience with distributed architectures, Kubernetes, MLOps, CI/CD pipelines, AWS, Azure, or GCP cloud infrastructure, and the design and productionization of AI systems
  • Experience with LLMs and generative AI, LangChain, intelligent agents, RAG architectures, production model deployment, enterprise ML platforms, Machine Learning or Cloud certifications, observability, monitoring, and model optimization is especially valued
  • B2 English

Артықшылықтар

  • Flexible working hours
  • Health insurance
  • Restaurant voucher
  • Reduced working hours during summer

Ұқсас жұмыс орындары

RBC

Senior Manager, Financial Crimes Oversight Testing

RBC

Lead financial crimes oversight testing across Europe, covering anti-money laundering, anti-terrorist financing, and sanctions controls. Review risk-based testing, report findings, and coordinate coverage with the Canada team.

Ашу
T-Mobile

Senior Client Success Manager, T-Mobile for Business

T-Mobile

Manage onboarding, retention, renewals, and account growth for T-Mobile government and enterprise customers. Coordinate across teams to increase customer value and strengthen long-term relationships.

Ашу
Swan
Sphera

Customer Success Manager (Remote, UK)

Sphera

Support Sphera’s environmental, health, safety, and sustainability software customers. Help drive adoption, resolve issues, strengthen retention, report on outcomes, and identify opportunities to expand accounts.

Ашу
AML RightSource

Entry-Level AML Analyst (Mandarin or Cantonese)

AML RightSource

Monitor transactions and investigate unusual data for AML RightSource, supporting anti-money laundering compliance and reporting. The role also uses analytical tools and contributes to projects serving international clients.

Ашу
Veradigm®

Digital Client Success Manager

Veradigm®

Manage a digitally supported portfolio of healthcare technology customers at Veradigm, using customer health signals and structured playbooks to guide engagement. Support adoption, retention, renewals, and growth through risk management and coordination with internal teams.

Ашу
Titan Wealth Holdings

Regional Client Services Manager

Titan Wealth Holdings

Lead regional client service teams at Titan Wealth, a UK wealth management business. Oversee managers, operations, compliance and service improvements across multiple offices.

Ашу
Globe Life

Senior Retention Specialist at Globe Life

Globe Life

Support American Income Life’s daily administrative operations, including data entry, mail processing, postage, and deliveries. This is a full-time remote role based in the United States.

Ашу
Lifen

Head of Clinical Operations, RWD and RWE Data Management

Lifen

Lead Clinical Operations, real-world data cohort production, and ongoing process improvement. Help scale structured patient case processing for Lifen’s clinical research data solutions.

Ашу
GSK

Director of Clinical Operations, Asset Lead

GSK

Lead GSK’s clinical operations strategy and delivery for vaccines and medicines across an asset’s lifecycle. Oversee planning, governance, vendors, risks, and inspection readiness.

Ашу