Cloud Infrastructure/ AI/ML Engineer// Waltham, MA. – Hybrid

Position: Cloud Infrastructure/ AI/ML Engineer

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Location: Waltham, MA.  – Hybrid

Employment Type: Contract  

Must have experience:

   Candidates with protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) experience. 

• Minimum 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management.

**  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)

. Must have experience:

• Minimum 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, GCP) – Must have requirement AWS,similiar • 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)

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.

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, GCP)
• 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

Look forward to hearing from you.

Thanks & Warm Regards,