ML/LLM Engineer

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July 5

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1648 Factory

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AI • B2B • SaaS

1648 Factory is a company specializing in staff augmentation and custom software development. They offer expert support, focusing on enhancing businesses with tailor-made AI solutions, designing market-ready digital products, and building innovative businesses leveraging cutting-edge technology. Their approach emphasizes collaboration to create impactful digital transformations for their clients.

51 - 200 employees

Founded 2020

🤝 B2B

☁️ SaaS

📋 Description

• Integrate and manage data ingestion pipelines, vector stores, graph database for complex question-answer and recommendation flows • Develop chatbots based on vector RAG and graph RAG using advanced techniques • Work on classical ML tasks using various algorithms and frameworks • Research, experiment with, and integrate cutting-edge AI frameworks to explore advanced use cases

🎯 Requirements

• Classic DS/ML: — Strong experience with Python • Solid knowledge of ML and DL • Experience in implementing Regression, Classification, Clustering Algorithms and Time Series • Practical experience in end-to-end Model Development and Optimization: design, develop, train, evaluate, and optimize ML models • Generative AI: — Experience with modern LLMs (preferably OpenAI models) and fine-tuning techniques • Hands-on experience in building RAG systems based on vector stores (Pinecone, Milvus, Qdrant) • Good understanding and experience in intelligent Document Processing, advanced Prompting Techniques, Embedding, LLM finetuning • Will be an advantage: — Familiarity with Azure cloud environment and services • Familiarity with streaming data or real-time inference pipelines • Familiarity with agentic orchestration frameworks (LangGraph, CrewAI, AutoGen, etc.) and API integrations • Experience with LangChain • Understanding of scalable agent architectures (planning, memory management, tool integration, agent workflows, etc.) • Experience with knowledge graphs and graph databases • Familiarity with lip sync techniques, streaming avatars • Personal skills : — Strong sense of responsibility • Excellent problem-solving and analytical skills • Adaptability and eagerness to switch quickly between diverse tasks, technologies and domains • Curiosity in exploring new frameworks, algorithms and solutions, with a drive to stay on the cutting edge of AI and ML research

🏖️ Benefits

• Attractive compensation package (20 days of vacation, 5 sick days — 100% compensation) • Remote work • Competitive salary with a long term contract • Super-experienced international team • Trust and support from the management team • High degrees of responsibility and autonomy • Agile teams where your ideas and solutions are valued • A working environment with plenty of scope for creativity • Independent work with a well-rehearsed team in the background