Cloud Infrastructure/AI/ML Engineer
12 month Hybrid extendable Contract role
direct Pharma client in Waltham MA.
UPDATE - CANDIDATE MUST HAVE experience with:
- protein engineering AI/ML (binders design RFDiffusion Rosetta structural biology
- protein MPNN
- protein language models (ESM UniRep).
- AI/ML cloud experience in the context of NGS would be preferable for new candidates resumes.
- Product Lifecycle Management (PLM) experience
Role focuses on providing infrastructure solutions to enable AI/ML models developments and applications. The position will require pipelines execution environment management AI/ML model development/deployment management of data for various bioinformatics workflows.
All Visas accepted. AI generated resumes will be rejected. Client name will not be disclosed until after a qualified candidate resume is presented. Two work references will be required from candidates should they get an interview.
Must have experience:
- Minimum 3 years of experience in cloud infrastructure AI/ML development and bioinformatics pipeline management
- Minimum MS degree or PHD Degree
- Experience with protein engineering AI/ML (binders design RFDiffusin Rosetta structural biology protein MPNN protein language models (ESM UniRep).
- Demonstrated expertise with various computing platforms (Must have HPC high performance computing AWS 7B DNAnexus AWS Sagemaker AI)
- Cloud computing platforms (AWS GCP)
- Python and Bash (must have both)
- Communications strong communication
- Experience developing/deploying AI/ML frameworks
- Containerization technologies (Docker Kubernetes) a plus
- S3 AWS Storage data storage nice to have
- Experience with NGS data analysis workflows and automation (Snakemake Nextflow) a plus
- Open to candidates willing to relocate at their own expense.
- Free Parking onsite
- Hybrid work will be offered (1-2 days)
-
send me resume on my mail -
Cloud Infrastructure/AI/ML Engineer 12 month Hybrid extendable Contract role direct Pharma client in Waltham MA. UPDATE - CANDIDATE MUST HAVE experience with: protein engineering AI/ML (binders design RFDiffusion Rosetta structural biology protein MPNN protein language models (ESM ...
Cloud Infrastructure/AI/ML Engineer
12 month Hybrid extendable Contract role
direct Pharma client in Waltham MA.
UPDATE - CANDIDATE MUST HAVE experience with:
- protein engineering AI/ML (binders design RFDiffusion Rosetta structural biology
- protein MPNN
- protein language models (ESM UniRep).
- AI/ML cloud experience in the context of NGS would be preferable for new candidates resumes.
- Product Lifecycle Management (PLM) experience
Role focuses on providing infrastructure solutions to enable AI/ML models developments and applications. The position will require pipelines execution environment management AI/ML model development/deployment management of data for various bioinformatics workflows.
All Visas accepted. AI generated resumes will be rejected. Client name will not be disclosed until after a qualified candidate resume is presented. Two work references will be required from candidates should they get an interview.
Must have experience:
- Minimum 3 years of experience in cloud infrastructure AI/ML development and bioinformatics pipeline management
- Minimum MS degree or PHD Degree
- Experience with protein engineering AI/ML (binders design RFDiffusin Rosetta structural biology protein MPNN protein language models (ESM UniRep).
- Demonstrated expertise with various computing platforms (Must have HPC high performance computing AWS 7B DNAnexus AWS Sagemaker AI)
- Cloud computing platforms (AWS GCP)
- Python and Bash (must have both)
- Communications strong communication
- Experience developing/deploying AI/ML frameworks
- Containerization technologies (Docker Kubernetes) a plus
- S3 AWS Storage data storage nice to have
- Experience with NGS data analysis workflows and automation (Snakemake Nextflow) a plus
- Open to candidates willing to relocate at their own expense.
- Free Parking onsite
- Hybrid work will be offered (1-2 days)
-
send me resume on my mail -
View more
View less