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Research Scientist, Artificial Intelligence


Research & Development

About the Role

The AI Research Scientist conducts advanced research in AI, pushing the boundaries of technology and innovation. Their work is fundamental in developing new AI methodologies and technologies, contributing significantly to the organization's knowledge base and competitive edge in the field.


    Lead a team of AI developers, data scientists, and software engineers in the design, development, and deployment of AI
    driven applications.
    Collaborate with cross
    functional teams, including product management, UX/UI designers, and business stakeholders, to define application requirements and ensure alignment with business goals.
    Manage the full application development lifecycle, from concept to launch, including setting timelines, milestones, and budgets.
    Stay abreast of the latest AI technologies and industry trends to identify opportunities for innovation and improvement.
    Develop and maintain a robust AI application roadmap that supports the organization's long
    term strategic vision.
    Ensure the quality, performance, and reliability of AI applications through rigorous testing, validation, and continuous improvement processes.
    Foster a culture of learning and experimentation within the team, encouraging the exploration of new tools, techniques, and methodologies in AI.
    Provide technical guidance and mentorship to team members, helping them grow their skills and advance their careers.
    Establish and enforce best practices for AI application development, including coding standards, documentation, and security protocols.
    Evaluate and manage external partnerships and vendor relationships to enhance the capabilities of AI applications.

Required Skills

    Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
    Strong programming skills in languages such as Python, Java, or C++.
    depth knowledge of AI and machine learning algorithms, frameworks, and tools.
    Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
    Proven track record of managing the end
    end development of complex software applications.
    Excellent leadership and team management skills.
    Strong analytical and problem
    solving abilities.
    Effective communication and interpersonal skills to collaborate with diverse teams.
    Ability to translate technical concepts into business value for non
    technical stakeholders.
    Familiarity with agile development methodologies and project management tools.

Ready to infuse AI?

Reach out and let's chat

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