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We are seeking a Mid-Level AI/ML Engineer to join our client's AI team and contribute to the development of cutting-edge intelligent systems. In this role, you'll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users.
Responsibilities
Required Qualifications
Programming and ML Frameworks
Data preprocessing & feature engineering tools
Development & Experimentation Tools
Other Useful Skills (common for telecom/edge AI)
Job ID: 133910535
Skills:
Java, Microservices, Gcp, Docker, Rest Apis, Kubernetes, Python, AWS, LLMs, text clustering methods, embedding-based search, Hugging Face, search algorithms, cloud platforms, transformer models, semantic retrieval, ranking techniques, prompt engineering, RAG Retrieval-Augmented Generation, OpenAI
Skills:
PostgreSQL, Docker, FastAPI, Kubernetes, Python, LangChain, model fine-tuning, agent memory systems, pgvector, RAG pipeline architecture, LLM evaluation and observability practices, financial close Record-to-Report accounting, prompt lifecycle management, platform-level engineering standards, Azure OpenAI, LLM engineering, LangGraph, context management strategies, Ragas, RLHF
Skills:
Tensorflow, Machine Learning, Neural Networks, Pytorch, Deep Learning, Data preprocessing, Cloud platforms, Generative models, Feature engineering
Skills:
graph databases , Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI
Skills:
Apis, Version Control, Performance Monitoring, Gcp, MLops, Machine Learning Algorithms, Azure, Statistical Analysis, Python, AWS, Feature Engineering, Data Preprocessing, Model Lifecycle Management, ML Pipelines, Model Evaluation, Model Optimization, Deep Learning Techniques, Hyperparameter Tuning