| AI/ML engineer// Remote// USC,GC and GC-EAD at Remote, Remote, USA |
| Email: [email protected] |
| This is AI/ML engineer role not data scientist or data analyst. This is 6 months c2h role Location : Remote Visa : USC,GC and GC-EAD I need people only with LEGIT EXP NOT WHO WANTS TO GET INTO AI/ML 5 plus years of Legit AI/ ML experience. min but total 10 plus years of IT development or data scientist exp Top technical "must haves" Understands how fine-tuning, context building, and prompt engineering influence the usefulness of responses, and knowledgeable of good practices associated with each element Experience implementing strategies aimed at cost management (hard $ & computational costs) of GenAI solutions, including limiting input and output tokens Understands how to safeguard proprietary IP/user data when leveraging both opensource & commercially licensed large language models Overview We are seeking aStaff Software Engineer in our Olathe, KS location. This is a critical and highly visible role, you will be responsible for leading the development and application of AI technologies across our product portfolio, shaping the future direction of our products and services. This role requires deep technical expertise, strategic thinking, and the ability to collaborate with a diverse set of stakeholders. Essential Functions Lead the design, development, and deployment of advanced artificial intelligence (AI) models and systems across various products and services. Partner closely with product teams to translate business needs into AI solutions, including building prototypes, defining product roadmaps, and providing technical guidance. Leverage cutting-edge AI/ML technologies and methodologies to drive business growth and product innovation. Provide strategic guidance to senior leadership on the adoption and application of AI/ML technologies, including budget allocation and investment decisions Act as an evangelist for AI innovation, educating both technical and non-technical stakeholders about the potential and limitations of AI/ML technologies Provide expert guidance on architecture specifically related to the implementation of AI and machine learning (ML) systems, such as patterns supporting challenger models and retraining of incumbent models. Implement robust monitoring systems to track model performance, identify and mitigate model drift, and ensure ongoing model accuracy and reliability in production systems. Design and execute experiments to evaluate model performance, validate hypotheses, and optimize model parameters and features. Implement human-in-the-loop annotation strategies to enrich the organizations data assets through focused, systematic labeling processes, ensuring models learn from human generated feedback. Communicate complex concepts and findings to stakeholders and senior leadership, effectively demonstrating the value and impact of AI/ML initiatives. Articulate ethical considerations related to model bias, data bias, and data privacy. Provide technical direction, mentoring, training, and guidance to other individual contributors to strengthen AI related competencies across the organization. Perform other job-related duties as assigned Basic Qualifications Master's Degree in Computer Science, Applied Statistics, or other relevant degree with a Data Science or Applied Statistics Emphasis At least 10 years of experience with machine learning algorithms, deep learning, natural language processing, or other relevant AI technologies Proven track record of designing, building, and deploying production-ready AI systems Experience in a leadership role with a strong track record of strategic decision-making Strong project management skills, with the ability to balance multiple projects and priorities in a fast-paced environment. Strong understanding of big data technologies microservices architecture, and API design Exceptional analytical and problem-solving skills, with the ability to think strategically and apply critical thinking to complex business challenges. Desired Qualifications Experience with generative artificial intelligence solutions Experience building and deploying chatbots Experience working in a product-focused organization Familiarity with regulatory and ethical considerations related to AI -- Keywords: artificial intelligence machine learning information technology green card Kansas |
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| Fri Jan 26 23:30:00 UTC 2024 |