Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- AI developer/Data Scientist at Complexio developing generative AI models to enhance human-machine interactions. Collaborating with experts and innovating solutions in AI for industry transformation.
Responsibilities
- Design and implement advanced algorithms for generative AI models enhancing human-machine interaction.
- Conduct in-depth analysis of large datasets for meaningful insights relevant to goals.
- Develop and train generative AI models ensuring effectiveness and reliability through evaluations.
- Collaborate with an elite team transitioning to cutting-edge Large Language Models (LLMs).
- Stay updated with advancements in AI and propose innovative solutions for technology enhancement.
- Acquire understanding of industries to tailor generative AI solutions for specific challenges.
Requirements
- **Algorithm Development:** Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries.
- **Data Analysis**: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals.
- **Model Training and Evaluation**: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes.
- **Collaboration:** Collaborating with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA.
- **Innovation**: Stay abreast of the latest advancements in AI and generative models (including open source), proposing and implementing innovative solutions to enhance the capabilities of our technology.
- **Industry Expertise:** Acquire a deep understanding of the shipping and industrialised industries to tailor generative AI solutions that address specific challenges and opportunities within these sectors
- Master's or Ph.D. in Data Science,Computer Science, or a related field.
- Proven experience in developing and implementing generative AI models.
- Proficient in programming languages such as Python and JavaScript
- Strong background in statistical analysis, machine learning, and data visualization.
- Excellent problem-solving skills and the ability to work in a collaborative, cross- functional environment.
- Demonstrated expertise in handling large datasets and extracting actionable insights.
- A proven track record working with open-source models, Llama, and AI/NLP across various domains.
- Mastery of NLP and related libraries.
- An understanding of business operations and a knack for crafting actionable business insights.
Benefits
- Join a pioneering joint venture at the intersection of AI and industry transformation.
- Work with a diverse and collaborative team of experts from various disciplines.
- Opportunity for professional growth and continuous learning in a dynamic field.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.