Senior AI Engineer
Senior AI Engineer
Posted on :
03-03-2025
Employer Active
1 Vacancy
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Job Description
We are looking for a Senior AI Engineer to drive innovation in Computer Vision NLP and Large Language Models (LLMs) by developing and optimizing cuttingedge AI solutions. The ideal candidate will have a deep understanding of traditional and modern AI techniques strong research and development (R&D) experience and the ability to translate complex AI concepts into productionready systems.
Tasks
- Design train and deploy advanced Computer Vision NLP and LLM models.
- Work with both traditional ML (e.g. SVMs Decision Trees) and deep learning techniques (e.g. CNNs Transformers Attention Mechanisms)
- Work on LLM finetuning prompt engineering and retrievalaugmented generation (RAG) pipelines
- Improve contextaware AI through knowledge graph integrations and semantic metadata filtering
- Build efficient embeddings and vector search solutions using techniques like FAISS ANN and Approximate Nearest Neighbors
- Build custom object detection tracking and segmentation pipelines for realworld applications
- Stay updated on cuttingedge AI research and incorporate stateoftheart techniques into production systems. Conduct experiments with foundation models model fusion and domainspecific finetuning
- Work with MLOps and AI deployment strategies using tools like Docker Kubernetes TensorRT ONNX and Hugging Face
- Optimize inference pipelines for lowlatency and highthroughput applications
Requirements
- Strong expertise in AI and ML algorithms with a solid understanding of statistics probability and optimization techniques.
- Deep understanding of model architectures such as CNNs YOLO BERT GPT Vision Transformers (ViTs) and Attention Mechanisms.
- Experience in training finetuning and deploying deep learning models for computer vision and NLP applications.
- Strong R&D experience in experimenting with AI models evaluating performance and improving model generalization.
- Handson experience with AI/ML frameworks like PyTorch TensorFlow Hugging Face OpenCV FastAPI and LangChain.
- Knowledge of retrievalbased AI systems including semantic search vector databases (FAISS Pinecone Qdrant) and hybrid search techniques.
- Strong understanding of model fusion multimodal AI and ensemble learning techniques.
- Minimum 3 years of experience in AI/ML development with a track record of deploying realworld AI solutions.
- Proficiency in Python with experience in Numpy Pandas Scikitlearn and AI model debugging tools.
- Familiarity with AI infrastructure and cloud computing (AWS GCP or Azure).
- Strong problemsolving skills and the ability to work in a fastpaced researchdriven environment.
Benefits
This role offers a hybrid work model combining remote and onsite work providing flexibility while maintaining team collaboration.
Employment Type
Full Time
Key Skills
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