About the project: 

А consultancy helping companies better manage their employees, being aligned on vision, mission, life values

Requirements:

  • Strong programming skills in Python, Java, or other languages commonly used in AI and machine learning development.
  • Deep understanding of machine learning algorithms, data structures, and optimization techniques, with hands-on experience in developing and deploying models
  • Experience with cloud platforms and proficiency in building and deploying AI solutions in cloud environments.
  • Solid understanding of software engineering principles, agile methodologies, and best practices for developing scalable, maintainable, and reliable code.
  • Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Proven leadership experience, with the ability to mentor junior team members, lead projects, and drive innovation in AI and machine learning development

Responsibilities:

  • Review current AI/ML code
  • Implement ChatGPT into a web platform
  • Digital fingerprint solution. Written on React/Node.js
  • Develop Dashboards Provide further on-going maintenance and support if required
  • Lead the design, development, and implementation of AI and machine learning solutions to address business challenges and opportunities.
  • Collaborate with cross-functional teams to understand business requirements, define project goals, and develop AI-driven solutions that meet stakeholders’ needs.
  • Conduct research, experiment with new technologies, and explore innovative approaches to solving complex problems using AI and machine learning techniques.
  • Design and implement scalable machine learning models and algorithms, leveraging techniques such as deep learning, natural language processing, computer vision, and reinforcement learning.
  • Analyze and preprocess large volumes of structured and unstructured data to extract meaningful insights and features for training machine learning models.
  • Evaluate and benchmark machine learning algorithms and models, optimize performance, and iterate on solutions to achieve desired outcomes.
  • Develop robust, production-ready code and deploy AI models into scalable, cloud-based environments for real-world applications.
  • Collaborate with a Front-end developer. Cover knowledge areas of a DevOps engineer and QA to integrate AI capabilities into the Client’s existing system