AI Engineer

Performance Expectations: Technical Hiring Criteria (Must Haves) Top 3 Required skills: Machine Learning, AI,Python Years of experience in each of the must-have skills: 7+ Years Any Certifications required: No Any additional information you would like to share about the project specs/nature of work: NA Job description: - Strong programming experience in Python - Solid understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch / TensorFlow) - Handson experience with Gener

Technology Architect Machine Learning / AI Location: Sunnyvale, CA 94085 Work Type: Hybrid (3 days/week onsite) Duration: Long Term Position Overview We are seeking an experienced Technology Architect Machine Learning & AI to join a high-impact team. The ideal candidate will have strong expertise in Python, Machine Learning, Generative AI, and cloud-based AI/ML solutions. This role requires hands-on development experience, architectural knowledge, and the ability to work in client-facing envir

Role: AI Engineer Duration: 6+ months Location: Bay Area, CA (hybrid) Technology: Exp in Google Cloud Platform (Gemini, Vertex) Responsibilities: Design and implement end-to-end ML pipelines on Google Cloud Platform (Google Cloud Platform)Build, fine-tune, and optimize AI/ML models for production deployment using Vertex AI and Gemini modelsDevelop Generative AI solutions leveraging Gemini APIs, prompt engineering, Retrieval-Augmented Generation (RAG), and multimodal AI capabilitiesDevelop and

Job Title: AI Full Stack Developer / Architect Location: San Jose, CA - Onsite 3 days a week Duration: Fulltime JOB SUMMARY We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic