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GenAI Developer – AWS, Generative AI & Machine Learning

  • Toronto, ON, Canada

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Job details

Job type
Contract
Posting language
English
Posted

Original job description

Gen AI (AWS)

Location: Toronto, ON
Work Arrangement: Hybrid (2 days per week in-person at Toronto office preferred)

Skills: Machine Learning, Artificial Intelligence(AI)  AI & Gen AI - Products & Tools
Experience Required: 6-8 Years

Job Description

  • We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions.
  • The ideal candidate should have strong expertise in Generative AI, Machine Learning, and AWS cloud services.

Key Responsibilities

  • Design and develop Generative AI applications using Large Language Models (LLMs).
  • Build, train, evaluate, and deploy Machine Learning models.
  • Develop AI-powered APIs and microservices for enterprise applications.
  • Implement Retrieval-Augmented Generation (RAG) solutions and prompt engineering techniques.
  • Utilize AWS AI/ML services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, and API Gateway.
  • Integrate AI solutions with cloud-native applications and enterprise platforms.
  • Perform model monitoring, optimization, and performance tuning.
  • Collaborate with business stakeholders and development teams to deliver scalable AI solutions.

Required Skills

  • Generative AI, LLMs, Prompt Engineering, and RAG
  • Machine Learning (Python, TensorFlow, PyTorch, Scikit-Learn)
  • AWS Cloud (Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway)

Preferred Skills

  • MLOps and CI/CD for AI/ML deployments
  • Vector Databases (Pinecone, OpenSearch, FAISS, ChromaDB)
  • BFSI domain experience

Education

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

More about this job

Responsibilities

The GenAI Developer at Astra North Infoteck will design and build generative AI applications using large language models, and build, train and deploy machine learning models. The work also includes AI-powered APIs, monitoring and tuning models, and working with business and development teams.

Requirements

Candidates need 6 to 8 years of experience with generative AI, LLMs, prompt engineering, RAG, machine learning in Python and AWS cloud services. A bachelor's degree in computer science, engineering, data science or a related field is required.

Skills

  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • Retrieval-Augmented Generation
  • Machine Learning
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • Amazon ECS
  • Amazon EKS
  • Amazon API Gateway
  • MLOps
  • CI/CD
  • Vector Databases
  • Pinecone
  • OpenSearch
  • FAISS
  • ChromaDB
  • Model Monitoring
  • Model Optimization
  • API Development

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Generative AI
  • GenAI
  • Large Language Models
  • LLM
  • Prompt Engineering
  • RAG
  • Retrieval-Augmented Generation
  • Machine Learning
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • AWS
  • Amazon Bedrock
  • SageMaker
  • Lambda
  • ECS
  • EKS
  • API Gateway
  • MLOps

Seniority

Senior

Tools

  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • Amazon ECS
  • Amazon EKS
  • Amazon API Gateway
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-Learn

Languages

  • English

Fields of study

  • Computer Science
  • Engineering
  • Data Science

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