| AI-ML Sr Architect (Gen AI) - Thousand Oaks, CA (Day 1 Onsite) - CTS at Thousand Oaks, California, USA |
| Email: [email protected] |
| From: kamesh, Centraprise [email protected] Reply to: [email protected] Job Title: AI-ML Sr Architect (Gen AI) Location: Thousand Oaks, CA (Day 1 Onsite) Job Type: Contract Must Have 12+ Years of Experience. Job Description: Primary role is to design and develop artificial intelligence systems that have the capability to learn, reason, and make decisions autonomously. oversee the architecture and infrastructure required to build and deploy AI technologies that can adapt and evolve based on various data inputs and user interactions. expertise in AI algorithms, machine learning, and neural networks will be essential in creating intelligent systems that can solve complex problems. Key Responsibilities: AI System Architecture: Design and develop the architecture and infrastructure for AI systems, including data storage, processing, and retrieval mechanisms. Ensure scalability, flexibility, and efficiency of the system to handle large volumes of data and complex algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement state-of-the-art architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into existing platforms or applications. Ensure seamless communication and compatibility between AI components and other software modules. Ethical and Responsible AI: Ensure adherence to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage. Research and Innovation: Stay updated with the latest advancements in AI technologies, frameworks, and algorithms. Conduct research and experimentation to explore new approaches and techniques that can enhance AI capabilities. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to define AI requirements and deliver AI solutions that meet business objectives. Communicate complex AI concepts and solutions effectively to both technical and non-technical stakeholders. Qualifications: A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Proven experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge of designing large scale AI solutions, data integration, cleansing, and transformation techniques. Familiarity with big data platforms and technologies, such as Hadoop or Spark. Excellent problem-solving and analytical skills, with the ability to think creatively and provide innovative solutions. Strong communication and collaboration skills to work effectively in multidisciplinary teams. Knowledge of ethical AI practices and regulations is a plus. If interested, please fill the below details and revert with your updated resume. Candidate Full Name Current Location Phone Email ID Skype ID Linked in ID Passport number Total Years of Experience Education Visa Status Willing to relocate Rate Last 4 Digits of SSN#: Availability to start on the project Previously worked with Cognizant (Y/N) If Yes Provide the CTS Emp ID Interview Availability with the time Zone Connect https://www.linkedin.com/in/n-kamesh-875540218/ Thanks & Regards, Kamesh Nagabelli Talent Acquisition Specialist| Centraprise Corp. 33 Wood Avenue South, Suite 600, Iselin NJ 08830 Email: [email protected] Keywords: artificial intelligence machine learning rlang California Idaho New Jersey AI-ML Sr Architect (Gen AI) - Thousand Oaks, CA (Day 1 Onsite) - CTS [email protected] |
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| Tue Oct 01 03:04:00 UTC 2024 |