Cloud Infrastructure/ AI/ML Engineer III

Title: Cloud Infrastructure/ AI/ML Engineer III
Location: Waltham, MA (Hybrid)
Job Duration: 12 months (Contract, possibilities of extension)

Description:

• Cloud Infrastructure/ AI/ML Engineer

Position Overview:
We are seeking an experienced Cloud Infrastructure/ AI/ML/ Data Engineer to support variety of projects across Genomic Medicine Unit (GMU) research and platform work. This contractor role focuses on providing infrastructure solutions to enable AI/ML models developments and applications. As such, the position will require pipelines execution, environment management, AI/ML model development/deployment, management of data for various bioinformatics workflows.

This position is 1 year contract with possibility of extension. Full time, on site at Waltham, MA.

Required Experience:
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.

Key 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 Sagemaker 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

Technical Skills:
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

Comments:
New requirement for level III role, experience with AI/ML models development, benchmarking, design.

• Open to candidates willing to relocate at own expense.
• Extension is possible
• Free Parking onsite
• Hybrid work will be offered (1-2 days)
• Manager is open to non-pharma/ bio tech industry experience academic research, etc.
• Strong background in computational work (not wet lab biologists transitioning into bioinformatics).
• Experience in AI/ML development and deployment (this is required).
• Experience with ESM protein language models (this is a plus).

Must have experience:

• Minimum of 3 years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management
• MS or PHD Degree
• Demonstrated expertise with various computing platforms (HPC high performance computing, AWS , 7B, DNAnexus, AWS Sagemaker AI)
• Cloud computing platforms (AWS, Google Cloud Platform) Must have requirement AWS or similar
• Python and Bash (must have)
• Communications, strong communication,
• Experience developing/deploying AI/ML frameworks

Nice to Have/ Preferred experience:

• Containerization technologies (Docker, Kubernetes)
• S3 AWS Storage, data storage, nice to have
• Experience with NGS data analysis workflows and automation (Snakemake, Nextflow)