| Urgent Need | AI/ML Engineer | Omaha, NE(Remote) at Omaha, Nebraska, USA |
| Email: [email protected] |
| Hi, Hope you are doing great! Please find the requirement below, If you find yourself comfortable with the requirement. Role- AI/ML Engineer Location- Omaha, NE(Remote) Duration- Long term contract Job Description: Must Have 10+ Years Key Responsibilities - Design and Develop ML Models: Build and optimize machine learning models using Python and AWS SageMaker. - Deploy and Monitor ML Solutions: Deploy models using AWS services such as Lambda, API Gateway, and ECS, and monitor their performance using CloudWatch. - Infrastructure Management: Utilize Infrastructure as Code (IaC) tools like CloudFormation and AWS CDK to manage and automate infrastructure deployment. - Data Management: Handle data storage and management using AWS S3 and EFS. - Networking and Security: Configure and manage VPCs, DNS, TCP/IP, HTTP, CDN, and IAM to ensure secure and efficient network operations. - DevOps Integration: Implement CI/CD pipelines using Bitbucket, GitHub, and Jenkins to automate workflows. - Containerization: Utilize Docker and AWS ECS/Fargate for container orchestration. - Serverless Architecture: Develop serverless applications and workflows using AWS Lambda and API Gateway. - Collaboration and Documentation: Work closely with data scientists, engineers, and stakeholders to ensure seamless integration and document all processes and workflows. - Continuous Learning: Stay updated with the latest trends and advancements in ML/AI, cloud computing, and software development. Required Skills and Qualifications - Programming Languages: Proficiency in TypeScript and Python. - AWS Services: Experience with AWS S3, EFS, VPC, DNS, IAM, Lambda, API Gateway, CloudWatch, ECS, and Fargate. - Networking: Strong understanding of TCP/IP, HTTP, and CDN. - Infrastructure as Code: Experience with CloudFormation and AWS CDK. - Security: Knowledge of AWS Identity and Access Management (IAM). - DevOps Tools: Proficiency with Bitbucket, GitHub, and Jenkins. - Containers: Experience with Docker and container orchestration using AWS ECS/Fargate. - ML/AI Tools: Familiarity with AWS SageMaker and BedRock. - Problem-Solving: Strong analytical and problem-solving skills. - Collaboration: Excellent communication and teamwork skills. - Education: Bachelor's or Masters degree in Computer Science, Engineering, or a related field. Preferred Qualifications - Experience with BedRock: Hands-on experience with BedRock for ML/AI tasks. - Advanced AWS Certifications: AWS Certified Machine Learning Specialty, AWS Certified Solutions Architect, etc. - Experience in Large-Scale Data Processing: Working with big data technologies and frameworks. www.envisiontechsol.com 10130 Mallard Creek Rd, Charlotte NC, 28262 Name Satya Prakash Designation Technical Recruiter Envision Technology Solutions E: Email [email protected] Office: number 315-275-5700 LinkedIn : linkedin.com/in/satya-prakash-205335238/ -- Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology Nebraska North Carolina Urgent Need | AI/ML Engineer | Omaha, NE(Remote) [email protected] |
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| Tue Jul 30 00:39:00 UTC 2024 |