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About the role
We are looking for a highly skilled Machine Learning Engineer between 1 to 5 years of working experience with strong programming expertise, a fundamental understanding of MLOps principles, and experience designing scalable, production-ready ML systems.
In this role, you will be responsible for building robust machine learning models, streamlining MLOps workflows, and optimizing performance across the entire ML lifecycle. A key focus will be on Python package development and ensuring integration of ML models into production.
What will you do:
Software Engineering Architecture:
Machine Learning Development:
MLOps:
Infrastructure Cloud Computing:
Collaboration Mentorship:
What should you have:
Preferred Qualifications:
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About company
At o9 Solutions, we transform enterprise planning from slow and siloed to Al-powered and integrated. Our game-changing o9 Digital Brain™ platform elevates your end-to-end decision-making capabilities, enabling you to manage the complexities and volatility of the digital age.
Our mission
To be the most valuable enterprise application for our clients by enabling true Al-powered integrated planning with our scalable platform. This is driven by having a knowledgeable team laser-focused on creating value for our clients.
We commit to delivering transformative value by being a reliable partner, accountable for driving change, and solving complex challenges within digital transformation journeys.
Job ID: 109314939
Skills:
Artificial Intelligence, Networking, Natural Language Processing, Data Structures, Ui Design, Algorithms, Software Development, Distributed Computing, Information Retrieval, Large-Scale System Design, Security, Data Storage
Skills:
Fpga, C, Pytorch, Linux, Python, Linalg, IREE, TOSA, MLIR, ONNX, TensorFlow Lite, NPU acceleration, LLVM, quantization, torch-mlir
Skills:
Microservices, Docker, Python, MLops, Rest Apis, Kubernetes, embeddings, fine-tuning concepts, vector databases, Pinecone, Responsible AI practices, RAG implementations, LangGraph, model evaluation, ChromaDB, Azure AI Search, LangChain, CrewAI, Semantic Kernel, prompt engineering, AutoGen, FAISS, Weaviate, LlamaIndex
Skills:
API design, Agile Methodologies, Java, AI ML, Typescript, MLops, Distributed Systems, Node.js, Python, enterprise-authorized AI-assisted software development tools, Agentic RAG concepts, Go, LLMOps, CI CD, agentic systems, database querying languages
Skills:
Ml, Apis, PostgreSQL, Microservices, Django, Nlp, Gcp, Distributed Systems, Flask, MongoDB, FastAPI, Azure, Python, AWS, Ai, RESTful architectures