

Cloud Infrastructure/AI/ML Engineer with PLM
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Infrastructure/AI/ML Engineer with PLM experience, offering a 12+ month hybrid contract in Waltham, MA. Requires 3+ years in cloud infrastructure and AI/ML, plus expertise in protein engineering and bioinformatics workflows.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 10, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Waltham, MA
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π§ - Skills detailed
#Python #Storage #Automation #GCP (Google Cloud Platform) #ML (Machine Learning) #Data Storage #Kubernetes #SageMaker #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #AWS SageMaker #Docker #AWS (Amazon Web Services) #Data Analysis #Bash #Cloud #Deployment
Role description
TWO UPDATES TO THIS ROLE~
β’ Hiring manager is now open to Bachelors degree candidates-Masters no longer a must have
β’ Looking for PLM (Product Lifecycle Management) experience
This NICHE role is still open and has now been upgraded to a Level III role with new requirements and a new pay range.
Seeking a Cloud Infrastructure/AI/ML Engineer for a 12+ month Hybrid extendable Contract role for my direct Pharma client in Waltham, MA.
UPDATE - CANDIDATE MUST HAVE Experience With
β’ protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology,
β’ protein MPNN,
β’ protein language models (ESM, UniRep).
β’ AI/ML cloud experience in the context of NGS would be preferable for new candidates resumes.
β’ 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.
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
β’ Minimum 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management
β’ Minimum MS degree or PHD Degree
β’ Experience with protein engineering AI/ML (binders design, RFDiffusin Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep).
β’ Demonstrated expertise with various computing platforms (Must have HPC high performance computing, AWS , 7B, DNAnexus, AWS Sagemaker AI)
β’ Cloud computing platforms (AWS, GCP)
β’ Python and Bash (must have both)
β’ Communications, strong communication,
β’ Experience developing/deploying AI/ML frameworks
β’ Containerization technologies (Docker, Kubernetes) a plus
β’ S3 AWS Storage, data storage, nice to have
β’ Experience with NGS data analysis workflows and automation (Snakemake, Nextflow) a plus
β’ Open to candidates willing to relocate at their own expense.
β’ Free Parking onsite
β’ Hybrid work will be offered (1-2 days)
TWO UPDATES TO THIS ROLE~
β’ Hiring manager is now open to Bachelors degree candidates-Masters no longer a must have
β’ Looking for PLM (Product Lifecycle Management) experience
This NICHE role is still open and has now been upgraded to a Level III role with new requirements and a new pay range.
Seeking a Cloud Infrastructure/AI/ML Engineer for a 12+ month Hybrid extendable Contract role for my direct Pharma client in Waltham, MA.
UPDATE - CANDIDATE MUST HAVE Experience With
β’ protein engineering AI/ML (binders design, RFDiffusion, Rosetta, structural biology,
β’ protein MPNN,
β’ protein language models (ESM, UniRep).
β’ AI/ML cloud experience in the context of NGS would be preferable for new candidates resumes.
β’ 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.
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
β’ Minimum 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics pipeline management
β’ Minimum MS degree or PHD Degree
β’ Experience with protein engineering AI/ML (binders design, RFDiffusin Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep).
β’ Demonstrated expertise with various computing platforms (Must have HPC high performance computing, AWS , 7B, DNAnexus, AWS Sagemaker AI)
β’ Cloud computing platforms (AWS, GCP)
β’ Python and Bash (must have both)
β’ Communications, strong communication,
β’ Experience developing/deploying AI/ML frameworks
β’ Containerization technologies (Docker, Kubernetes) a plus
β’ S3 AWS Storage, data storage, nice to have
β’ Experience with NGS data analysis workflows and automation (Snakemake, Nextflow) a plus
β’ Open to candidates willing to relocate at their own expense.
β’ Free Parking onsite
β’ Hybrid work will be offered (1-2 days)