Cloud Infrastructure/AI/ML Engineer
Cloud Infrastructure/AI/ML Engineer
Posted on :
05-06-2025
Employer Active
1 Vacancy
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Job Description
Job Summary (List Format):
- Position: Cloud Infrastructure/AI/ML Engineer (Contract 12 months Hybrid)
- Location: Waltham MA (Hybrid: 1-2 days onsite; free parking; relocation at candidates expense)
- Focus: Enable infrastructure for AI/ML model development and bioinformatics applications
- Bioinformatics: Must have strong experience in bioinformatics including pipeline execution and workflow management
- Key Responsibilities:
- Develop deploy and manage AI/ML models and frameworks
- Execute and manage bioinformatics pipelines and environments
- Manage data for diverse bioinformatics workflows
- Technical Skills:
- Minimum 3 years in cloud infrastructure AI/ML and bioinformatics pipeline management
- Expertise in HPC (High Performance Computing) AWS DNAnexus AWS Sagemaker AI
- Experience with cloud platforms: AWS GCP
- Proficiency in Python and Bash
- Containerization experience (Docker Kubernetes preferred)
- Familiarity with S3 AWS Storage and data storage (nice to have)
- Experience with NGS data analysis workflow automation (Snakemake Nextflow is a plus)
- Education: MS or PhD required
- Communication: Strong communication skills are essential
- Visa/Employment:
- All visa types accepted (including H1B EAD-GC L2 EAD H4-EAD but not OPT/CPT/TN/E3)
- C2C
- References required for interview
- Interview Policy:
- No AI assistance allowed during interviews; use of AI tools will result in immediate termination of the interview
- Client name disclosed after resume submission
- Additional Requirements:
- Willingness to relocate if not local
- Formatted resume government photo ID visa copy I94/travel history (if applicable) required for submission
- Position: Cloud Infrastructure/AI/ML Engineer (Contract 12 months Hybrid)
- Location: Waltham MA (Hybrid: 1-2 days onsite; free parking; relocation at candidates expense)
- Focus: Enable infrastructure for AI/ML model development and bioinformatics applications
- Bioinformatics: Must have strong experience in bioinformatics including pipeline execution and workflow management
- Key Responsibilities:
- Develop deploy and manage AI/ML models and frameworks
- Execute and manage bioinformatics pipelines and environments
- Manage data for diverse bioinformatics workflows
- Technical Skills:
- Minimum 3 years in cloud infrastructure AI/ML and bioinformatics pipeline management
- Expertise in HPC (High Performance Computing) AWS DNAnexus AWS Sagemaker AI
- Experience with cloud platforms: AWS GCP
- Proficiency in Python and Bash
- Containerization experience (Docker Kubernetes preferred)
- Familiarity with S3 AWS Storage and data storage (nice to have)
- Experience with NGS data analysis workflow automation (Snakemake Nextflow is a plus)
- Education: MS or PhD required
- Communication: Strong communication skills are essential
- Visa/Employment:
- All visa types accepted (including H1B EAD-GC L2 EAD H4-EAD but not OPT/CPT/TN/E3)
- C2C
- References required for interview
- Interview Policy:
- No AI assistance allowed during interviews; use of AI tools will result in immediate termination of the interview
- Client name disclosed after resume submission
- Additional Requirements:
- Willingness to relocate if not local
- Formatted resume government photo ID visa copy I94/travel history (if applicable) required for submission
Employment Type
Full Time
Key Skills
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