5 Federated Learning Jobs

As an Assistant Vice President Generative AI Systems Architect, you will leverage your 12+ years of experience to architect and design end-to-end systems for production-grade Generative AI applications. This includes creating systems for LLM-based chatbots, copilots, and content generation tools. Your responsibilities will involve defining system architecture for data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. It is essential to establish architectural tenets such as modularity, scalability, reliability, observability, and maintainability. Collaboration plays a crucial role in this role, as you will work closely with data scientists, ML engineers, platform engineers, and product managers to ensure that the architecture aligns with both business objectives and AI goals. Your tasks will include choosing and integrating foundation models, evaluating solutions based on various architecture patterns, and designing secure and compliant architectures for enterprise settings, focusing on data governance, auditability, and access control. Additionally, you will lead system design reviews, define non-functional requirements (NFRs) like latency, availability, throughput, and cost, and collaborate with MLOps teams to establish CI/CD processes for model and system updates. Your contribution to creating reference architectures, design templates, and reusable components will be valuable in driving efficiency and consistency across projects. To excel in this role, it is important to stay updated with the latest advancements in GenAI, system design patterns, and AI platform tooling. Your role as an Assistant Vice President Generative AI Systems Architect will be dynamic and impactful, contributing significantly to the advancement and implementation of cutting-edge AI technologies.,

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra - India). The ideal candidate should have 12-15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed "invisible intelligence" within secure wearable systems. Must have 12-15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops Strong in privacy-preserving AI (federated learning, differential privacy) Secure real-time comms (WebRTC, SIP, RTP) Nice to have: Experience with MCP or similar protocol frameworks Background in wearables/XR or smart glass AI platforms Expertise in platform security architectures (sandboxing, auditability) Show more Show less

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. 1. Top 3 Daily Tasks: - Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. - Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. - Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. 2. Must have: - Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting - Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite - Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) - Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops - Strong in privacy-preserving AI (federated learning, differential privacy) - Secure real-time comms (WebRTC, SIP, RTP) 3. Nice to have: - Experience with MCP or similar protocol frameworks - Background in wearables/XR or smart glass AI platforms - Expertise in platform security architectures (sandboxing, auditability) Show more Show less

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ? Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ? Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ? Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have: -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability) Industry Technology, Information and Internet Employment Type Full-time Show more Show less