... in creating scalable, efficient, and innovative AI solutions. You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- ...
... solutions for faster time to market. AI Engineer is proficient in leveraging available AI tools in applying real world use cases for better productivity. As a Senior AI Engineer, you bring strong hands-on experience with Python, prompt engineering, generative AI technologies, and the successful delivery of AI-powered solutions ...
... most demanding enterprise AI workloads. You will own the cross-cutting architectural decisions that span teams and shape the platform's long-term trajectory. AI infrastructure Enterprise software Developer experience Own the end-to-end technical architecture of the SambaStack inference platform, ensuring it meets enterprise-grade ...
Job Title : Lead AIML Engineer ML https://jobeax.com/link/HBAJOF7Dyieygc6Z : 8 - 12 https://jobeax.com/link/elpmNuUlUrtRmNOJ : Chennai, Bangalore, Hyderabad, Pune, Delhi/NCR.Who we are : Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest https://jobeax.com/link/pvUpFQxuygc6oBnK ...
... https://jobeax.com/link/JWJO6JSy6QK2oui2 Store and ML Enablement : - Build reusable feature generation frameworks for ML and recommendation systems.- Create low-latency feature pipelines serving training and online inference workloads.- Partner with Applied Scientists to improve feature discoverability, governance, and reusability.AI-Powered Engineering Capabilities ...
... write clean, maintainable, and well-tested code, adhering to best practices and coding standards. collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to deliver high-quality software. paid holidays and flexible paid time away casual dress code & flexible working environment ...
... LlamaIndex, CrewAI, AutoGen.- Vector Databases : 1. Experience with vector similarity search, metadata filtering, and optimization in databases such as Azure AI Search, PGVector, Pinecone, Qdrant, or Milvus.- MLOps & Platform : 1. MLflow (for model versioning, lineage, and tracking), Docker, Kubernetes.2. Experience with ...
... Java backend applications that processed millions of events on daily basis. Collaborate with product managers, designers, and backend engineers to deliver seamless mobile experiences. Write clean, modular, and testable code with a strong emphasis on maintainability and performance. Debug, troubleshoot, and optimize mobile ...
... document understanding, and feature extraction from visual data.- Solid understanding of transformers, NLP, or LLM based architectures.- Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.- ...
... discussions.- Comfortable using AI-assisted development tools to improve engineering https://jobeax.com/link/yx8kchu4LdXw5dYl Skills and Experience :- Understanding of AI agent patterns (tool use, function calling, memory, multi-turn conversations, guardrails).- Experience building multi-tenant SaaS platforms or developer platforms.- ...
... the role : We are looking for a AI offensive Security researcher / Senior AI Security Engineer/Architect with MLSecOps experience to lead the next generation of AI-native security at https://jobeax.com/link/55bAhFuItfSjCwyh will own two parallel missions : securing o9's GenAI platform and agentic AI ecosystem from emerging ...
... personalization.- Perform feature engineering, data wrangling, model selection, hyperparameter tuning, and model evaluation.- Monitor model performance and ensure robust ML lifecycle management using tools like MLflow and Airflow.- Document processes and present insights, findings, and recommendations to both technical and non-technical ...
... Rider Intelligence : Build algorithms to analyze rider behavior, detect anomalies (e.g., accident or fall detection), and personalize the app/scooter experience.- MLOps & Deployment : Establish the MLOps infrastructure (e.g., MLflow, Kubeflow) to train, deploy, monitor, and retrain models seamlessly in production - both in ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...
... SageMaker, S3, RDS, DocumentDB)- Containerization and orchestration tools including Docker and Kubernetes.- CI/CD pipelines for automated testing of non-deterministic AI outputs.- Observability and logging pipelines for tracking agent token usage, latency, and failure states.- Responsible AI frameworks, data privacy compliance, ...