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Machine Learning Engineer (GenAI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Serbia/Portugal/NM
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer (GenAI): Building and improving generative AI systems, information retrieval pipelines, and production ML solutions for life sciences with an accent on LLM applications, agentic workflows, embeddings, and model deployment. Focus on designing evaluation and monitoring frameworks, analyzing model errors, and developing scalable systems with Python and cloud ML services.

Location: Remote role for candidates in LatAm, North Macedonia, Portugal, or Serbia

Company

hirify.global is a globally distributed technology consultancy that delivers machine learning and generative AI solutions for life sciences, marketing, advertising, and other industries.

What you will do

  • Build and maintain generative AI applications, including LLM-powered features and agentic workflows.
  • Develop information retrieval pipelines covering data ingestion, chunking, embeddings, and vector search.
  • Contribute to evaluation frameworks, production monitoring, and model improvement strategies.
  • Deploy, maintain, and upgrade machine learning models and pipelines while analyzing model errors.
  • Collaborate with Data Engineering, DevOps, Backend, and client teams to define objectives, deliverables, and progress metrics.
  • Explore, clean, and visualize data and maintain technical documentation.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • At least 2 years of AI or machine learning engineering experience.
  • Hands-on experience with GenAI solutions, prompt engineering, LLM fine-tuning and serving, search, and embeddings.
  • Proficiency in Python and machine learning frameworks including scikit-learn, PyTorch, HuggingFace, TensorFlow, and Transformers.
  • Working knowledge of cloud ML services, preferably AWS Bedrock, AgentCore, and SageMaker, plus familiarity with containerization and orchestration.
  • Excellent English is required for meetings, customer calls, and business communications; the CV must be written in English.

Nice to have

  • Experience building and deploying agents using Agentic RAG, NLQ, smolagents, or strands-agents.
  • MLOps or LLMOps experience with tools such as MLFlow and LangFuse.
  • Consultancy or startup experience, including direct client work and project management.

Culture & Benefits

  • Fully remote, globally distributed work environment with local holidays observed.
  • Every other Friday off, providing 26 additional days off per year.
  • Paid sick days, business English classes, continuous learning support, and a defined career path.
  • Explore and Relocation programs, including up to three months of work abroad or full international relocation.
  • Fitness and mental health subscriptions and access to the hirify.globalLabs internal research and development program.

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