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Description

Do you want to help build the future of AI while solving some of the biggest challenges faced by industry leaders? We are seeking a highly experienced Senior Data Scientist to join a cutting-edge research and development team that specializes in building Full-stack AI applications and delivering innovative solutions for clients across government, retail, and other industries. The focus of this role is on developing foundation models, creating predictive analytics solutions, and pushing forward advancements in generative AI technologies. As part of this team, you will work with global teams to build MVPs for clients using cutting-edge tools and methodologies.

If you're passionate about AI and have the technical breadth to lead projects and deploy AI applications in multi-environmental ecosystems, this role is for you!

Key Responsibilities:

+ Full-Stack AI Engineering: Build and deploy end-to-end AI applications, focusing on the integration of AI solutions with practical use cases for clients.

+ R& D Innovation: Conduct research and development on behalf of clients, focusing on predictive analytics, generative AI models, and foundational large language models (LLMs).

+ MVP Development: Design and build AI-driven MVPs (minimum viable products) across industries, solving complex problems for a diverse set of clients.

+ Deep Learning Expertise: Leverage tools like PyTorch, TensorFlow, and Keras to implement models for natural language processing (NLP), diffusion models, and predictive modeling.

+ Coding & Deployment: Write Python, C++, and Java code to build scalable solutions. Work with libraries such as Pandas, Scikit-learn, and open-source tools for experimentation and deployment.

+ Cloud Environments: Deploy models across GCP (Google Cloud), Azure, and other environments, ensuring seamless integration with client systems.

+ Team Leadership: Work as a team lead across 3+ projects simultaneously, mentoring junior team members and driving collaboration with global teams.

+ Client Collaboration: Partner with long-standing brands and government clients to tailor AI solutions to specific needs, ensuring trust and alignment with business goals.

+ Focus on Generative AI & Predictive Analytics: Push advancements in AI technologies, foundation models, and generative AI to optimize client outcomes.

Requirements

Preferred Skills and Qualifications:

+ Experience: 6+ years of experience developing and deploying AI solutions and building predictive models. Experience with MVP and Full-stack AI projects required.

+ Technical Expertise:

+ Strong proficiency in Python, C++, and Java.

+ Expertise using PyTorch, TensorFlow, Keras, and libraries like Pandas and Scikit-learn.

+ Strong understanding of natural language processing (NLP) and deep learning techniques.

+ Hands-on experience building and deploying AI models in GCP (Google Cloud), Azure, and open-source environments.

+ Proficiency in diffusion models and a deep understanding of foundation LLMs (large language models).

+ Broad Deployment Knowledge: Demonstrated ability to deploy models in diverse environments using state-of-the-art cloud platforms and open-source tools.

Technology Doesn't Change the World, People Do.®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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