and NLP frameworks (spaCy, Hugging Face, NLTK) - Healthcare/clinical text processing Experience: - 5+ years AI/ML...
the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands. Partner... with product engineering teams to ensure the AI/ML systems are reliable and high performing. Develop observability, security...
? How far ahead would society be today if we had 12 fingers instead of 10? Required Skills: 6+ years of industry experience of ML.... Preferred Skills: Understanding of MLOps/ML Infra workflows, processes and ML components Strong experience building...
? How far ahead would society be today if we had 12 fingers instead of 10? Required Skills: 6+ years of industry experience of ML.... Preferred Skills: Understanding of MLOps/ML Infra workflows, processes and ML components Strong experience building...
We are looking for an experienced Data Scientist with strong expertise in AI/ML, Generative AI, LLMs, NLP, and MLOps... innovation in deep learning and enterprise AI deployments. Key Responsibilities AI/ML & Generative AI Development Design...
, from data discovery to deployment and feedback Architect and implement scalable data science and ML solutions using Google... Proficiency in Python and various ML and simulation libraries (TensorFlow, PyTorch, Scikit-learn) Experience with Google Cloud...
, from data discovery to deployment and feedback Architect and implement scalable data science and ML solutions using Google... Proficiency in Python and various ML and simulation libraries (TensorFlow, PyTorch, Scikit-learn) Experience with Google Cloud...
Roles & Responsibilities Design and implement ML models for forecasting, classification, and regression tasks (e.g... performance and reliability. Stay up-to-date with the latest advancements in AI/ML and GenAI technologies. Generic Managerial...
on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime..., and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML...
, CrewAI, Semantic Kernel) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Formal certifications...
accelerator SDK. Co-design model architecture optimized for low-precision deployment in close collaboration with companywide AI/ML... teams. Work cross-functionally with data scientists and ML researchers/engineers across organizations to align on model...
in real time, where advanced ML techniques improve visual quality, latency, and efficiency. Through developing tools... Do You will work across GPU, ML, and systems engineering to create frameworks that make games more lifelike and responsive...
Job Description: 7+ years hands-on experience with ML Model Development and Deployment using Python Hand... pipeline REST API Integration for ML Models Hands on Experience with Data Preprocessing(Pandas, Numfy, etc) Understanding...
cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS...
cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS...
/ML system & infrastructure in the industry. Responsibilities: - System Architecture & Implementation: Lead the design..., implementation, and operation of scalable, reliable, and high-performance ML/LLM infrastructure and systems. - Cross-Functional...
. What You Will Do Responsible for designing, developing, training, and validation of AI/ML products Support and advise executive leadership... AI project development, including ML-reinforcement learning with large continuous datasets, developing NLP tools to ingest...
. What You Will Do Responsible for designing, developing, training, and validation of AI/ML products Support and advise executive leadership... AI project development, including ML-reinforcement learning with large continuous datasets, developing NLP tools to ingest...
What You Will Do: Build, automate, and maintain CI/CD pipelines for artificial intelligence (AI) and machine learning (ML) and software... applications. Containerize applications/models and deploy them to cloud environments (e.g., Azure, AWS, etc.). Operationalize ML...