What are the responsibilities and job description for the Cloud Infrastructure/ AI/ML Engineer position at Cynet Systems?
Job Details
We are looking for Cloud Infrastructure/ AI/ML Engineer for our client in Waltham, MA
Job Title: Cloud Infrastructure/ AI/ML Engineer
Job Type: Contract
Job Description:
Job Description:
Pay Range: $59.73hr - $64.73hr
Responsibilities:
- Pipeline Execution & Management: Run and maintain bioinformatics pipelines on cloud platforms.
- Environment Management: Configure and support data/pipeline environments using 7B, and DNAnexus.
- AI Infrastructure: Set up and maintain environments for AI model development and inference (AWS Sage maker AI).
- Data Visualization: Create intuitive visualization tools for bench scientists and present data effectively.
- LLM Development: Develop RAG (Retrieval-Augmented Generation) LLMs for Gene Therapy GMU use cases.
- Automation: Develop and deploy agents to optimize/run routine NGS analyses and automate metadata verification.
- Cloud computing platforms (AWS, Google Cloud Platform).
- Containerization technologies (Docker, Kubernetes).
- Programming languages (Python, R, Bash).
- Experience with NGS data analysis workflows and automation (Snakemake, Nextflow).
- Experience developing/deploying AI/ML frameworks.
- Data visualization tools and libraries.
- 3 years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management.
- Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, Computer Science or related field.
- Demonstrated expertise with various computing platforms (HPC, 7B, DNAnexus, AWS Sagemaker AI).
- Strong background in NGS data analysis and pipeline automation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60 - $65
