GEN AI Specialist (Mississauga)

GEN AI Specialist (Mississauga)

17 Aug
|
eTeam
|
Mississauga

17 Aug

eTeam

Mississauga

Role Name: GEN AI Specialist Location: Missisauga ON JOB DESCRIPTION: Job Description: GenAI & AI/ML Framework Specialist (C/C) Role Overview: We are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions.

You will develop advanced machine learning algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.

Key Responsibilities GenAI & Model Development 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.

Framework & Pipeline Engineering 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.





Technical Skills Required AI/ML Frameworks & Libraries Core Frameworks: Deep expertise in PyTorch, Tensor

Flow, or JAX.

GenAI Ecosystem: Hands-on experience with Hugging Face, Lang

Chain, Llama

Index, and vLLM.

Core Languages: Mastery of Python for performance tuning.

Algorithms & Math Machine Learning: Deep understanding of regression, clustering, decision trees, and ensemble methods.

Deep Learning: Robust grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).

Data Infrastructure: Experience with Vector Databases (ChromaDB, Pinecone, Milvus) and SQL/NoSQL. MLOps & Infrastructure Deployment: Experience with MLflow, Kubeflow, or Triton Inference Server.

Cloud & Compute: Proficiency with AWS (Sage

Maker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA).

Experience & Qualifications Experience: years in data science or AI engineering, with years dedicated to Generative AI.

Education: Masters in Computer Science, Data Science, Mathematics, or a related quantitative field.

📌 GEN AI Specialist (Mississauga)
🏢 eTeam
📍 Mississauga

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