| Staff Engineer- AI || Hybrid || No , or CPT at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2285852&uid= ob Title: Staff Engineer- AI Job Location: Scottsdale, AZ,Hybrid We are seeking an experienced and talented Staff Machine Learning Engineer to join our team. In this role, the Staff Engineer will lead the development and implementation of cutting-edge AI and machine learning solutions that drive our company's products and services. You will work closely with cross-functional teams to design, build, and deploy scalable AI systems that solve complex business problems. The successful candidate must have significant experience in building and delivering AI solutions at scale. We are also looking for a candidate that can lead a team and enable them to deliver on aggressive timelines. 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: Programming languages such as: Python, TypeScript/Javascript, Angular or React, or NodeJS Relational as well as NoSQL databases Infrastructure as code tools like Terraform or CloudFormation. 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: AI/ML services: Bedrock, SageMaker, Compute: Lambdas, ECS, API Gateway, Step Functions Data: DynamoDB, RDS, S3 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 Regards _______________________________ Suryangi Resource Consultings Services Inc. Parsippany, NJ Email: [email protected] www.rconsultinginc.com -- Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology Arizona New Jersey Staff Engineer- AI || Hybrid || No , or CPT [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2285852&uid= |
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| 11:11 PM 25-Mar-25 |