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Machine Learning Champion (Remote)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Kenya

Offer summary

Qualifications:

3+ years in machine learning engineering, Expertise in NLP systems, Experience with RAG architectures and components, Proficient in Python and vector similarity search, Hands-on with agent frameworks like LangChain.

Key responsabilities:

Design sophisticated Retrieval-Augmented Generation architectures
Develop chunking strategies for document processing
Research and implement advanced retrieval methods
Build vector databases for similarity search at scale
Lead design reviews and mentor junior engineers

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.