Gen AI Engineer Onsite – Thousand Oaks -CA

4.Required Skills : ,AI&ML Concepts,AWS Machine Learning,ML Ops,OpenAI GPT3.5 & 4,Langchain 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.Responsibilities : – Analyze business processes to identify opportunities for leveraging ML Ops and AI technologies. – Collaborate with stakeholders to gather and document business requirements. – Develop and maintain detailed project plans to ensure timely delivery of AI and ML solutions. – Provide insights and recommendations based on data analysis and AI models. – Oversee the implementation of AWS Machine Learning solutions to optimize business operations. – Utilize OpenAI GPT3.5 & 4 to develop advanced natural language processing applications. – Integrate Langchain technologies to enhance data processing and analysis capabilities. – Ensure that AI and ML solutions align with business objectives and regulatory requirements. – Conduct regular reviews and updates of AI models to maintain accuracy and relevance. – Facilitate training sessions for team members on new AI and ML tools and techniques. – Monitor the performance of AI systems and troubleshoot any issues that arise. – Collaborate with IT and data science teams to ensure seamless integration of AI solutions. – Prepare and present reports on AI project outcomes to senior management. -Qualifications – Possess a strong understanding of ML Ops and its application in business environments. – Demonstrate expertise in AWS Machine Learning and its various services. – Have hands-on experience with OpenAI GPT3.5 & 4 for natural language processing tasks. – Show proficiency in using Langchain for data processing and analysis. – Exhibit a solid grasp of AI and ML concepts and their practical applications. – Have excellent analytical and problem-solving skills. – Possess strong communication and collaboration abilities. – Be detail-oriented and capable of managing multiple projects simultaneously. – Have a proven track record of delivering AI and ML solutions that drive business value. – Be familiar with regulatory requirements related to AI and data privacy. – Show a commitment to continuous learning and staying updated with the latest AI trends. – Hold a relevant degree in Computer Science, Data Science, or a related field. – Preferably have certifications in AWS Machine Learning or related AI technologies.