
201 - 500 employees
Founded 2020
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Elfonze Technologies is a technology services and solutions company that builds and manages enterprise IT systems, specializing in Oracle ERP, supply chain and logistics platforms, and cloud-native infrastructure (IaaS/PaaS). The company provides digital transformation, enterprise applications, master data management, AI-enabled platforms, and niche supply chain planning products and services for B2B customers, along with advisory and build-operate-transfer engagements.
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201 - 500 employees
Founded 2020
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Elfonze Technologies is a technology services and solutions company that builds and manages enterprise IT systems, specializing in Oracle ERP, supply chain and logistics platforms, and cloud-native infrastructure (IaaS/PaaS). The company provides digital transformation, enterprise applications, master data management, AI-enabled platforms, and niche supply chain planning products and services for B2B customers, along with advisory and build-operate-transfer engagements.
• Design and develop machine learning models, deep learning architectures, and NLP solutions for production use • Build and maintain end-to-end ML pipelines — from data ingestion and preprocessing through to model training, evaluation, and deployment • Integrate AI/ML models into existing applications and APIs • Fine-tune and evaluate large language models (LLMs) for specific business use cases • Collaborate with data engineers to ensure high-quality, well-structured training data • Monitor model performance in production and implement retraining strategies • Research and evaluate emerging AI frameworks, tools, and techniques • Document models, experiments, and technical decisions clearly
• 3+ years of experience in AI/ML development • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn • Experience with NLP frameworks (Hugging Face, spaCy, LangChain) • Familiarity with LLMs and prompt engineering (OpenAI, Anthropic, Gemini, etc.) • Experience deploying models via REST APIs (FastAPI, Flask) • Solid understanding of data structures, algorithms, and statistical concepts • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools • Experience with vector databases (Pinecone, Weaviate, FAISS) is a plus
• Remote work options
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