AI/ML Engineer

• 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 organization’s 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

Notes from manager:

This is AI/ML engineer role not data scientist or data analyst.

This is 6 months c2h role

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 we can up to 90$/hr for right candidate

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