| REMOTE :: AWS machine Learning Engineer at White Marsh, Maryland, USA |
| Email: [email protected] |
| From: UTTAM BARMAN, SONITALENTCORP [email protected] Reply to: [email protected] Role AWS machine Learning Engineer Location White Marsh, MD (open to 100% remote, but prefer someone who can come on site a few times a month or weekly) Duration 6+ month Visa USC /GC ( Please restrict search to those local to the DC, Maryland, Virginia, Delaware area please.) Top Skills: Really strong AWS experience, CI/CD Pipeline experience and Python experience. AWS Cert is ideal, but not required . Job Description: We are seeking an experienced and motivated AWS Machine Learning Engineer to join our team. This role focuses on leveraging AWS cloud infrastructure and machine learning tools to design, build, deploy, and maintain robust machine learning solutions. The ideal candidate will be deeply familiar with Python, various ML frameworks (including PyTorch, TensorFlow), and AWS tools such as SageMaker, Lambda. They will have strong CI/CD process knowledge and a passion for optimizing ML workflows to support business-driven use cases. Key Skills & Qualifications: Python Expertise: Advanced knowledge of Python for machine learning applications, including ML frameworks such as PyTorch, TensorFlow, and XGBoost. AWS Proficiency: Strong experience with core AWS services, including EC2, S3, SageMaker, CloudWatch, and understanding of account setup, infrastructure basics (e.g., ALBs), and automation tools (CloudFormation, Terraform). CI/CD Process: Understanding of software CI/CD and ML CI/CD, including pipelines for code, model experimentation, testing, and deployment. MLOps Knowledge: Familiarity with MLOps practices, including model experimentation, testing, monitoring, and version control. Containerization: Experience working with containers on AWS (Docker, ECR, ECS) and deploying containerized ML solutions in SageMaker. AWS Certifications: Preferred. Cloud Infrastructure Expertise: Ability to choose appropriate infrastructure resources for different jobs, focusing on cost-effectiveness and performance. Monitoring and Inference Optimization: Experience with real-time and batch inference monitoring and optimization for cost-effective ML model deployment. Collaboration & Growth: Willingness to mentor junior engineers and train data engineers, or grow in the role (for entry-level candidates), and openness to learning new AWS tools and technologies. LinkedIn: https://www.linkedin.com/in/uttam-barman-b494b1254/ Email: [email protected] Contact: 8599464061 Keywords: continuous integration continuous deployment machine learning sthree green card Maryland REMOTE :: AWS machine Learning Engineer [email protected] |
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| Mon Oct 28 21:56:00 UTC 2024 |