ML Engineer
ML Engineer
Encora Technologies Pte LtdThis job is no longer accepting applications
Job Description
- Strong proficiency in Python programming with experience in building scalable and maintainable codebases.
- Solid understanding of embedding models, vector databases, and similarity search techniques.
- Hands-on experience with LLM frameworks such as LangChain.
- Knowledge of data preprocessing techniques for handling textual, audio, and video data.
- Practical expertise with tools like FAISS, Pinecone, Weaviate, or similar is highly desirable.
- ETL/ELT: Familiarity with data processing workflows or pipelines.
- Data and ML Knowledge
- Experience with file ingestion processes for diverse formats (eg, text, graphics, tables, images, PPT, video).
- Experience with RAG (Retrieval-Augmented Generation) workflows and their integration with LLMs.
- Understanding of vector mathematics, including cosine similarity and Euclidean distance.
General Skills.
- Problem-solving mindset with the ability to tackle complex technical challenges.
- Excellent communication and collaboration skills for working effectively in a dynamic team environment.
- Leveraging Encora s AI & LLM Engineering Practice
- Encora is a global company that offers Software and Digital Engineering solutions.
- Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
- At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Key Skills
About Company
Encora Technologies Pte Ltd
Skills:
Logging, Jenkins, Nlp, Azure Cloud, Storage, Flask, FastAPI, Cosmos DB, Generative AI, LLMs, Monitoring, CI CD, prompt engineering, async, App Service, OpenTelemetry, Azure OpenAI LLM platforms, RAG, Python advanced, AI Search
Skills:
Github, Apis, Tensorflow, Numpy, Git, Pandas, MLops, Pytorch, Docker, Azure, Kubernetes, Python, AWS, agentic architecture, GenAI, scikit-learn, LLMOps, Llm, distributed services, infrastructure as code
Skills:
RAG (Retrieval-Augmented Generation), Python Programming, metrics, evaluation datasets, fine-tuning, AI fundamentals, production ML systems, Llm, AI agent architecture, model evaluation, structured testing, benchmarks, root-cause analysis, model improvement
Skills:
text classification , Pytorch, Embedded Linux, Nlp, Python, LLM RAG Pipelines, LangChain, Hugging Face, TensorRT, Quantization, Model Fine-tuning, NVIDIA Jetson Platforms, ONNX, Vector Databases, Jetson Nano, ONNX Runtime, LLM Deployment, RAG, Real-time AI Applications, Edge AI Optimization, Prompt Engineering, NER
Skills:
Azure Cosmos DB, Docker, Microsoft Azure, Python, Azure DevOps, Azure Sql, MLops, Azure Machine Learning, Kubernetes, Vector search, MLflow, Pinecone, Azure OpenAI, CI CD, Azure AI Search, Haystack, LangChain, Prompt Flow, RAG architecture, Vector databases, Semantic search techniques, Semantic Kernel, Azure AI Services, FAISS, Embedding models, Weaviate, LlamaIndex