| Machine Learning Engineer - Phoenix,AZ (Remote) at Phoenix, Arizona, USA |
| Email: [email protected] |
| POSITION TITLE: Machine Learning Engineer OFFICE LOCATION: Phoenix, AZ (US Remote ) Need only 10+ profiles PRINCIPAL RESPONSIBILITIES: Provides technical direction related to project deliverables for both on-shore and off-shore team members. Contributes to project deliverables by performing software development and/or system administration tasks as needed. Reviews business requirements and technical analysis to develop system implementation approaches designed to meet business objectives, while also consulting with Solution/Enterprise Architects. Actively leads efforts to ensure code quality and coding standards are met, including but not limited to pull request reviews, formal code reviews, or coaching for team members. Provides support and resolution of open IT issues escalated by the product team Performs other job-related duties as assigned. MINIMUM QUALIFICATIONS: Minimum of 10 years of experience in engineering, developing, planning and executing scalable technology solutions, tools, operations and support. Ideally using technologies such as: o Programming languages such as: Python, TypeScript/Javascript, Angular or React, or NodeJS o Relational as well as NoSQL databases o Infrastructure as code tools like Terraform or CloudFormation. o CI/CD tools and processes such as GitHub Actions Expert knowledge of cloud architectures, and services within Amazon AWS. Specific technologies include, but are not limited to: o AI/ML services: Bedrock, SageMaker, o Compute: Lambdas, ECS, API Gateway, Step Functions o Data: DynamoDB, RDS, S3 o Observability: CloudWatch logs, metrics and alarms Significant experience in AI and ML technologies, tools, and processes such as MLFLow, RAGAS, RAG, prompt engineering, ML or LLM Ops, computer vision or NLP, ML model training and inference Significant experience building applications or products that have AI/ML technologies embedded within the product and are core features of the solution and ensures the overall solution is scalable, reliable, and available. Demonstrates accountability, sound decision making, analytical thoroughness, clear and concise communications, and the ability to lead and coach team members. PREFERRED QUALIFICATIONS: Should have experience working in a fast-paced environment Agile SDLC process -- Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology Arizona Machine Learning Engineer - Phoenix,AZ (Remote) [email protected] |
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| Tue Oct 22 20:10:00 UTC 2024 |