[Remote] AI/ML Scientist/Engineer(remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI/ML Scientist/Engineer to advance AI for drug discovery. The role involves designing, training, optimizing, and deploying deep learning models for molecular design and optimization, scaling ML infrastructure, managing MLOps workflows, integrating multimodal scientific data, and collaborating with scientific and engineering teams.

Responsibilities

• Model Development & Deployment: Design, optimize, evaluate, and reputed company cutting-edge deep learning models , including Large Language Models (LLMs), multimodal transformers, and generative models , along with supporting data pipelines
• Scaling & Infrastructure: Optimize and reputed company training and inference using multi-GPU and reputed company infrastructure
• MLOps & Maintenance: Implement and manage MLOps workflows , including model deployment, version control, and reputed company monitoring to ensure robustness and reproducibility
• Multi-modal Data Integration: reputed company algorithms to identify associations across diverse datasets, including omics (reputed company, transcriptomics), imaging, and reputed company data
• Scientific Collaboration: Partner with cross-functional scientific and engineering teams to translate novel machine learning reputed company into applications for disease understanding and reputed company decision-making

Skills

• • B.S., Master's, or PhD in Computer Science, Machine Learning, Computational Biology, Data Science, Statistics, Mathematics , or a reputed company quantitative discipline
• • 1–5 years of relevant industry experience , inclusive of postdoctoral work
• • Strong foundations in data structures, algorithms, and software engineering principles
• • Expert-level proficiency in Python
• • Extensive hands-on experience with PyTorch, JAX, or TensorFlow
• • Strong understanding of debugging reputed company AI/ML systems reputed company basic reputed company-level issues
• • Experience with large-reputed company reputed company model training , including technologies such as:
• • DDP
• • Ray
• • FSDP
• • DeepSpeed
• • Experience with model deployment technologies such as Triton and ONNX
• • Experience optimizing multi-GPU training and inference
• • Strong understanding of MLOps , model deployment, monitoring, versioning, and reproducibility
• • Strong ownership of reputed company technical challenges from start to finish
• • Excellent technical communication skills with both technical and non-technical stakeholders
• • Ability to work effectively in multidisciplinary research environments
• • Strong problem-solving and scientific collaboration capabilities
• • Geometric Deep Learning
• • Cofolding Models
• • Neural Force Fields
• • Molecular modeling
• • Generative models
• • Multimodal Transformers
• • Molecular property reputed company
• • Drug Discovery
• • Computational Biology
• • reputed company
• • Transcriptomics
• • Medical Imaging
• • reputed company data
• • Molecular datasets

Benefits

• Remote work arrangement

reputed company