12+ month extendable Contract role. Hybrid-some weekly onsite work (3-4 days/week) required in Waltham, MA. 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. Pay starts at $70.00/hour but is very flexible, depending upon experience. Lenox Executive Search is seeking an experienced Cloud Infrastructure/AI/ML Engineer to fill an 12+ month extendable contractual role with a global pharmaceutical company in Waltham, MA. Must have minimum Masters degree and must have HPC high performance computing experience. Seeking candidates with protein engineering AI/ML experience (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) experience. REQUIREMENTS of the Cloud Infrastructure/AI/ML Engineer: 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 Seeking candidates with protein engineering AI/ML experience (binders design, RFDiffusion, Rosetta, structural biology, protein MPNN, protein language models (ESM, UniRep) experience. Demonstrated expertise with various computing platforms (HPC, 7B, DNAnexus, AWS Sagemaker AI) Strong background in NGS data analysis and pipeline automation Seeking AI/ML cloud experience in the context of NGS 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 RESPONSIBILITIES of the Cloud Infrastructure/AI/ML Engineer: 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 Job Types: Full-time, Contract, Temporary Pay: From $70.00 per hour Expected hours: No less than 40 per week Schedule: 8 hour shift Monday to Friday Education: Master's (Required) Experience: cloud infrastructure & AI/ML models development: 3 years (Required) HPC (High Performance Computing): 1 year (Required) AWS: 2 years (Required) bioinformatics pipeline management: 1 year (Required) both Python and Bash: 1 year (Required) protein engineering AI/ML : 1 year (Preferred) Ability to Commute: Waltham, MA 02451 (Required) Work Location: Hybrid remote in Waltham, MA 02451