GenAI Developer – AWS, Generative AI & Machine Learning
- Toronto, ON, Canada
Contract
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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