DontApply.Club
Login Register

AI/ML Engineer - Generative AI

Smart It Frame Llc — Canada · Posted ~1 hour ago

Mid Full-time Onsite

Skills

Python Machine Learning Generative AI LLMs NLP LangChain Hugging Face AWS SageMaker Airflow

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

An AI engineering position focused on designing, optimizing, and deploying machine learning and generative AI solutions. The role involves LLMs, NLP, cloud platforms, and MLOps practices.

Highlights

High-impact AI engineering role focused on advanced machine learning solutions, large language models, and enterprise-scale deployment.

Description

🚀 Role: GenAI Developer / AI-ML Engineer 📍 Location: Toronto, ON (Hybrid: 4 days onsite per week) 💼 Employment Type: Full-Time 🏦 Domain: Banking Role Summary: We are seeking an experienced GenAI Developer / AI-ML Engineer to join a high-impact Banking AI initiative.This role focuses on designing, developing, optimizing, and deploying Machine Learning and Generative AI solutions leveraging Large Language Models (LLMs), cloud platforms, and enterprise-scale MLOps practices.The ideal candidate will have strong expertise in Python, NLP, LangChain/OpenAI/Hugging Face, AWS SageMaker, Airflow, and modern ML deployment frameworks. ✅ Mandatory Skills (Must Have) 🤖 Generative AI & LLMs 2+ years of hands-on AI/ML experience in model development, optimization, and advanced ML techniques.Strong experience with:Large Language Models (LLMs)Hugging Face TransformersLangChainOpenAI APIsLLM evaluation and performance measurement. 🧠 NLP Expertise Hands-on experience in: Entity RecognitionText SummarizationText ClassificationNLP Model Development 💻 Programming Strong coding experience in: Python (Highest Priority)Java (Required)C++ ☁️ Cloud & MLOps Experience with: AWS (Preferred)AzureGCPMLOps tools and ML lifecycle managementImportant AWS Skills: AWS SageMakerS3Lambda 🔄 Data Engineering & Pipelines Experience building and maintaining: Airflow DAGsML Workflow OrchestrationETL PipelinesCloud Data Integration Data Processing Tools: Apache SparkPandas🚀 DevOps & Deployment Hands-on experience with: CI/CDDockerKubernetes 🏦 Banking Domain Banking experience is highly preferred.Understanding of Risk, Privacy, Compliance, and Enterprise Application Requirements. 🎯 Ideal Candidate Profile Looking for candidates with: ✅ GenAI/LLM Development Experience ✅ Python + Java + AWS + MLOps Background ✅ LangChain / OpenAI / Hugging Face Expertise ✅ NLP Project Experience ✅ Airflow + Spark/Pandas Experience ✅ Docker & Kubernetes Knowledge ✅ Banking or Financial Services Domain Exposure About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together 📩 Apply today or share profiles at ajayjoshuva.p@smartitframe.com #AIEngineer #MachineLearningEngineer #GenerativeAI #OpenAI #LangChain #HuggingFace #LLM #NLP #MLOps #AWS #SageMaker #Python #Airflow #Spark #Docker #Kubernetes #TorontoJobs #Hiring