Company Overview:

Vivum pioneers Evolutionary AI (E-AI) through a cutting-edge platform that harnesses the power of biological intelligence. By leveraging dynamic learning models like liquid time-constant networks, we deploy adaptive, energy-efficient E-AI models to edge devices without costly supercluster CPUs/GPUs. Vivum’s transparent, context-aware models empower autonomous vehicles, advanced robotics, and intelligent devices to navigate, perform, and decide in complex, real-time scenarios. We’re committed to forging a biospheric computing paradigm that benefits not just humanity but all life on Earth. The planet demands it.

Position: Data Scientist

Location: Remote/Hybrid - Bloomington, IN (or greater Indianapolis Area)

Position Overview:

We are seeking a talented and experienced Data Scientist with a strong focus on AI to join our dynamic team. The Data Scientist will play a key role in designing, developing, and deploying AI models and algorithms to solve complex business challenges and drive innovation. This role requires expertise in machine learning, deep learning, and statistical analysis, along with a passion for leveraging AI to create value.

Responsibilities:

Collaborate with cross-functional teams including engineers, developers, and business stakeholders to understand business objectives and translate them into AI-driven solutions.
Design and develop machine learning models, algorithms, and predictive analytics to extract insights, automate processes, and improve decision-making.
Conduct data preprocessing, feature engineering, and model evaluation to ensure the accuracy, reliability, and scalability of AI models.
Explore and experiment with cutting-edge AI techniques and technologies to enhance the performance and capabilities of AI solutions.
Collaborate with data engineers to build data pipelines, integrate data sources, and optimize data infrastructure for AI applications.
Deploy AI models into production environments, monitor model performance, and implement continuous improvements and optimizations.
Conduct thorough analysis of large-scale datasets using statistical methods, data visualization, and storytelling techniques to communicate findings and recommendations.
Stay abreast of industry trends, research advancements, and best practices in AI, and contribute to thought leadership and knowledge sharing within the organization.

Qualifications:

Master's or Ph.D. degree in Computer Science, Data Science, Statistics, or related field. Equivalent work experience may be considered.
Proven experience as a Data Scientist with a focus on AI, machine learning, deep learning, and natural language processing (NLP).
Strong programming skills in languages such as Python, along with experience with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Keras.
Experience with cloud platforms and big data technologies for scalable AI solutions.
Proficiency in data visualization tools and data wrangling techniques.
Solid understanding of statistical analysis, hypothesis testing, and experimental design.
Excellent problem-solving skills, analytical thinking, and attention to detail.
Strong communication, collaboration, and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits:

Competitive salary and benefits package
Opportunities for professional development and growth
Collaborative and innovative work environment
Access to cutting-edge AI technology and tools
Opportunity to make a meaningful impact in AI-driven solutions

If you are passionate about AI, have a strong foundation in data science, and are eager to contribute to groundbreaking AI projects, we invite you to apply with your resume and a cover letter outlining your relevant experience and why you are the ideal candidate for this role.

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