AI Software developers on a profit-sharing basis

Skills:

Programming Languages, Machine Learning and Deep Learning, Mathematics and Statistics, Data Handling and Preprocessing, AI Frameworks and Libraries, Natural Language Processing (NLP) or Computer Vision (CV), Algorithmic Thinking and Problem-Solving, Version Control and Deployment,.

Company Description.

OUTTHINC is an Advertising and Software Development Organization (Digital Marketing/AI/Blockchain Software/Web3/AR/VR/Data Analytics/Games Development/ etc.) that develops software of international standards.

In view of venturing, expanding, and developing its business volume in the space of AI Software Development for our clients, we are seeking a proven AI Development Expert/s who has all-round experience in this domain and can work collaboratively at the backend.

Job Roles & Responsibilities.

The role of the AI developer will be multifaceted and crucial in the development and deployment of artificial intelligence systems.

The roles and responsibilities are as under:.

Designing AI Systems.

The developer should be capable to design systems and algorithms that enable machines to perform tasks that typically require human intelligence.

This involves conceptualizing AI solutions based on client or business needs.

Programming And Development.

Writing, testing, and optimizing code are core tasks.

The Developers should be capable of using programming languages and frameworks to implement machine learning models, neural networks, and other AI algorithms.

Data Preparation And Analysis.

Preprocessing and cleaning data for AI models is a significant part of the role.

The developer needs to work with large datasets, analyze patterns, and extract relevant information to train AI systems effectively.

Model Building And Training.

He may be required to develop AI models, select appropriate algorithms, train and fine-tune these models using machine learning and deep learning techniques to achieve optimal performance.

Algorithm Improvement And Optimization.

Continuously improving existing algorithms and optimizing AI models to enhance accuracy, efficiency, and speed is an ongoing responsibility.

Integration And Deployment.

Integrating AI models into applications or systems and deploying them in real-world environments.

Ensuring that these models operate seamlessly and reliably is essential.

Collaboration And Problem-Solving.

Collaborating with cross-functional teams (data scientists, engineers, business analysts) to understand requirements, address challenges, and solve complex problems using AI solutions.

Stay Updated With Technology Trends.

Constantly staying updated with the latest advancements in AI, exploring new methodologies, and implementing innovative solutions to keep pace with evolving technologies.

Ethical Considerations.

Considering ethical implications while developing AI systems, including issues related to biases in data and ensuring fairness and transparency in AI applications.

Competent & interested expert/s may contact us at (M) 6291882263 (WA) or, email at arijitdas729@gmail.com.