... Lead AI solution architecture, development, and implementation.- Identify AI opportunities and collaborate with cross-functional teams.- Develop and optimize AI models using Python and Azure services.- Integrate video analytics and video processing capabilities into AI solutions.- Ensure scalability, performance, security, ...
... developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such as Lakeflow, Unity Catalog, and Generative AI https://jobeax.com/link/86DscMukVX8p2VNe Responsibilities:- Design, develop, and maintain end-to-end streaming and batch data pipelines using Databricks and PySpark.- ...
... communication skills and ability to work collaboratively in a fast-paced https://jobeax.com/link/EG3PG5FSTAqKZnRA Responsibilities : - Design, develop and maintain full-stack Generative AI applications.- Build robust backend systems and APIs for AI-driven products and agent-based applications.- Integrate LLMs and GenAI models ...
... cadence, maintain clarity on priorities, and turn ambiguous opportunities into actionable product direction - Define product requirements and roadmap themes for AI observability, enforcement, and governance workflows - Translate cybersecurity, platform, and AI/MLOps concepts into customer-facing product capabilities with ...
... Observability: CloudWatch, OpenTelemetryLeadership & Strategic Responsibilities :- Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...
... development, launch, and continuous improvement . - Define product requirements, user stories, acceptance criteria, priorities, and delivery objectives. - Develop and maintain product roadmaps aligned with business goals, customer needs, and engineering capabilities. - Work closely with engineering teams to translate product requirements ...
... 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.- ...
... technical constraints. - Experience working in Agile product development environments with cross-functional engineering and product teams. - Experience designing AI/GenAI-powered products and experiences , including conversational interfaces, AI assistants, copilots, or AI-driven workflows. Experience with modern React ecosystems ...
... retrieval systems that give agents the clinical context, causal evidence, and relationship awareness needed for intelligent decision-making. Proactively improve the maintainability, availability, and performance of the team's features, and contribute to the team's overall architecture and developer tooling. Communicate technical ...
... with enterprise applications, APIs, MCPs, Databricks, 3 party agents, and cloud services.- Advise on the optimal use of Copilot capabilities, agents, automation, AI services, and low-code technologies based on business needs.- Define architectures spanning Azure services, API gateways, integrations, networking, security, and ...
... teams. 10. Follow up with candidates for feedback, documents, and joining status. 11. Use AI tools to draft job descriptions, emails, and candidate messages. 12. Maintain candidate details and recruitment updates in ATS or trackers. 13. Prepare daily and weekly recruitment reports. 14. Build and maintain candidate pipelines ...
... Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Automation, Test Automation, and Cloud will be crucial in developing and implementing AI solutions that streamline processes and enhance user experiences. Key Responsibilities: 1. Develop and implement AI strategies to improve business operations and ...
... plausible but incorrect approaches. - Review AI agent attempts and evaluate their performance against professional marketing standards. - Identify weaknesses in AI reasoning, execution, prioritization, research, reporting, and decision-making. - Provide clear, evidence-based written feedback explaining why an approach is ...
... emphasis on FastAPI for high-performance applications. Deploy and manage applications on AWS, ensuring robust and scalable solutions are delivered. Implement and maintain messaging queues using Celery, RabbitMQ, or AWS SQS. Utilize WebSockets and asynchronous programming to enhance system responsiveness and performance. Continuously ...
Role : Data & AI Solution Architect - Data Modelling & Conversational AILocation : Remote (Bangalore).Experience : 8+ https://jobeax.com/link/NvD7kaZTflbs2EcH The Role : We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for the OneData ...
... systems and edge-to-cloud architectures.- Apply model optimization techniques - quantization, pruning, distillation, and hardware acceleration - to meet edge constraints.- Establish and maintain robust MLOps practices: CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines.- Benchmark ...
This is a remote position. Delivery Manager (Enterprise Systems | AI ‑ First Delivery) Location: Remote Duration: Full time About Us Dhan AI is a boutique consulting and product company focused on AI ‑ first delivery and modern enterprise platforms. We work closely with our customers to design, build, and operate systems ...
... Stay updated with emerging agentic AI tools, orchestration techniques, and safety best practices. Contribute to internal documentation and playbooks for building AI agents. Bachelor's degree in Computer Science, AI/ML, or related field. - 1–3 years of experience in AI/ML, back-end engineering, or LLM-based application development. ...