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Machine Learning Champion (Remote)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years of machine learning engineering experience, Expertise in NLP systems and RAG architectures, Proficiency in Python and vector similarity search, Experience with agent frameworks like LangChain, Knowledge in document processing pipelines.

Key responsabilities:

  • Design and implement RAG architectures
  • Optimize document chunking strategies
  • Research and apply advanced retrieval methods
  • Build and optimize vector databases
  • Lead design reviews and mentor junior engineers
ATACANA GROUP Inc. logo
ATACANA GROUP Inc.
11 - 50 Employees
See more ATACANA GROUP Inc. offers

Job description

Machine Learning Champion (Remote)


About the Role

We are seeking an experienced Machine Learning Engineer with deep expertise in building production-grade Retrieval-Augmented Generation (RAG) systems and AI agents. The ideal candidate will have a strong foundation in machine learning, natural language processing, and practical experience implementing end-to-end RAG pipelines and agent orchestration.


Key Responsibilities

  • Design and implement sophisticated RAG architectures incorporating query classification, retrieval optimization, reranking, repacking, and summarization components
  • Develop and optimize chunking strategies for document processing, balancing context preservation with retrieval efficiency
  • Research and implement advanced retrieval methods combining sparse (BM25) and dense retrieval with hybrid search techniques
  • Build and optimize vector databases for efficient similarity search at scale
  • Create evaluation frameworks to measure RAG system performance across multiple dimensions (faithfulness, relevancy, retrieval accuracy)
  • Design and deploy multi-agent systems with effective orchestration patterns
  • Develop multimodal RAG capabilities integrating text, images, and other modalities
  • Lead technical design reviews and mentor junior engineers in RAG/agent implementation best practices


Required Technical Skills & Experience

  • 3+ years of experience in machine learning engineering with focus on NLP systems
  • Extensive experience with RAG components and architectures:
    • Query optimization and rewriting
    • Vector databases
    • Document chunking and embedding strategies
    • Reranking methods
    • Prompt engineering and LLM integration
  • Hands-on experience with agent frameworks:
    • LangChain & LangGraph
    • Agent communication protocols
    • Workflow orchestration
  • Proficiency in:
    • Python (advanced)
    • Vector similarity search
    • Semantic embeddings
    • Document processing pipelines

Preferred Qualifications

  • Fast learner and curious about the latest technologies
  • Experience implementing RAG systems serving high query volumes in production
  • Experience in information retrieval, semantic search, or related areas in technical fields
  • Experience with multimodal retrieval and generation

 

About Atacana:

Atacana Group, Inc. is a global competitive strategy and intelligence firm focused on the healthcare industry. We need your help automating complex processes end-to-end by combining technology with human domain expertise.

 Why join our fast-growing team? 

  • Passion for innovation. We are passionate about AI and the advancement of innovations in healthcare
  • A culture of results, not hours spent. Flexible hours let us schedule our days so that we do our best work without missing out on life's important moments.
  • Freedom of location.100% remote work. We are a globally distributed team, so we can work wherever we're happiest.
  • Diverse and global team. Our team members are located across 4 continents and are located in 11+ countries.
  • Growth mindset. We are a learning organization which has allowed us to grow rapidly.

We look forward to hearing from you!

Salvador

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Quick Learning
  • Mentorship
  • Research

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