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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 experience in machine learning engineering, Focus on NLP systems and RAG components, Proficiency in Python and vector databases, Hands-on with agent frameworks like LangChain, Experience in guiding junior engineers.

Key responsabilities:

  • Design sophisticated Retrieval-Augmented Generation architectures
  • Optimize chunking strategies for document processing
  • Implement advanced retrieval methods with hybrid techniques
  • Build efficient vector databases for similarity search
  • Lead technical design reviews and mentor juniors
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

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