Job Overview:

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

- 8+ years of experience in data science or AI engineering.
- 2+ years of dedicated experience in Generative AI.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
- Mastery of Python for performance tuning.
- Deep understanding of regression, clustering, decision trees, and ensemble methods.
- Solid grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).
- Experience with Vector Databases such as ChromaDB, Pinecone, or Milvus.
- Proficiency with SQL and NoSQL databases.
- Experience with MLflow, Kubeflow, or Triton Inference Server.
- Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI).
- Experience with GPU acceleration and CUDA.

Responsibilities:

- Design and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models.
- Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).




- Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms.
- Build scalable pipelines for data preprocessing, feature engineering, and model training.
- Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs.
- Integrate AI models seamlessly into production software architectures and enterprise workflows.

Skills:

- Python.
- Generative AI (GenAI).
- Large Language Models (LLMs).
- Prompt Engineering.
- Fine-tuning LLMs.
- Retrieval-Augmented Generation (RAG).
- PyTorch.
- TensorFlow.
- JAX.
- Hugging Face.
- LangChain.
- LlamaIndex.
- vLLM.
- Machine Learning.
- Deep Learning.
- Transformers.
- CNNs.
- RNNs.
- RLHF.
- Vector Databases.
- MLOps.
- CUDA.

Qualification And Education:
- Master's degree in Computer Science, Data Science, Mathematics, or a related quantitative field.

📌 GEN AI Specialist (Montreal)
🏢 Cynet Systems
📍 Montreal