Generative AI and LLM Specialist (Early Career)

Job Description:

We're on the lookout for an emerging Generative AI and LLM Specialist to join our forward-thinking team. This role is perfect for someone with 2-3 years of experience, who's passionate about diving into projects involving Large Language Models and Generative AI. With a solid foundation in AI/ML and a knack for natural language processing, you'll get to leverage tools like LangChain to develop applications that leverage the power of generative models. You’ll work within our Product Team, alongside our Data Engineering and Software Engineering squads, playing a crucial role in weaving AI magic into the fabric of our products.

Key Responsibilities:

• Create and Innovate: Design, develop, and deploy generative AI models with a focus on natural language understanding and generation. Show us what you've built or contributed to.
• Tech Toolbox: Utilize and explore libraries and frameworks such as LangChain, contributing to the development of efficient applications.
• Team Player: Collaborate effectively with Data and Software Engineering teams, ensuring AI models are neatly integrated.
• Eager Learner: Keep up with AI/ML trends, tools, and best practices, applying fresh knowledge to enhance project outcomes.
• Ethics First: Champion ethical AI development, from bias mitigation to privacy protection.

Good-to-Haves:

• Research Mindset: While direct experience might be limited, a curiosity-driven approach to exploring new applications of generative AI is valued.
• Emerging Leader: Show potential for technical leadership and project guidance.

Essential Skills and Qualifications:

• Relevant Degree: Bachelor’s or Master’s in Computer Science, AI, ML, or related fields.
• Practical Experience: At least 2 years in ML and deep learning, with projects or contributions in NLP. 1-2 years experience in Generative AI (Experience working with OpenAI, GoogleAI, Claude and similar LLMs.).
• Programming Proficiency: Solid Python skills and familiarity with AI/ML tools (e.g., TensorFlow, PyTorch).
• Tech-Savvy Foundations: Initial exposure to distributed computing and software engineering practices.
• Problem Solver: Demonstrated ability to tackle challenges with innovative solutions.
• Communicator: Strong skills in articulating ideas and collaborating with various teams.
• Ethical AI Advocate: Understanding of ethical AI principles.

Good-to-Haves:

• Google Colab and API Tools: Exposure to platforms like Google Colab and Postman for AI model prototyping and testing.

Preferred Qualifications:

• Collaborative Projects: Participation in open-source AI/ML projects is a plus.
• Domain Knowledge: Introductory understanding of specific domains relevant to our projects.
• Leadership Traits: Early signs of leadership and initiative in project settings.

Why You Should Join:

If you're eager to grow your career in AI, contribute to cutting-edge projects, and work within a team that values innovation and ethical AI development, we want you. Here, you'll not only contribute but also expand your skills, with plenty of opportunities for learning and professional development.

This adjusted description is crafted to attract candidates who are relatively early in their careers but show promise, enthusiasm for AI, and a willingness to learn and grow within the role. It emphasizes foundational skills, potential for growth, and the importance of a collaborative and ethical approach to AI development.