Job Description: We are seeking a Lead AI/ML Engineer with working expertise in OpenAI, generative AI, large language models, Langchain, Llama and prompt engineering. In this role, you will lead technical teams, drive innovation, and deliver cutting-edge AI solutions.
Key Responsibilities:
- Technical Leadership:
- Lead AI/ML projects from concept to implementation, providing technical expertise.
- Mentor and guide the team in applying the latest AI technologies.
- AI/ML Solution Development:
- Design, develop, and implement AI solutions with a focus on generative AI and large language models.
- Utilize deep learning frameworks such as TensorFlow, PyTorch, or similar.
- OpenAI Expertise:
- Specialized knowledge in OpenAI, including GPT-3, GPT-4, or similar models.
- Experience with OpenAI APIs and tools for language generation and understanding.
- Langchain and Llama Skills:
- Proficiency in Langchain and Llama for advanced AI solutions.
- Application of Langchain and Llama in developing innovative AI projects.
- Prompt Engineering:
- Expertise in prompt engineering techniques to fine-tune and optimize AI models for specific tasks.
- Research and Innovation:
- Stay updated with the latest AI/ML research and apply innovative solutions to projects.
- Contribute to AI/ML research and publications where applicable.
- Team Management:
- Build and lead a high-performing technical team, providing mentorship and guidance.
- Collaborate effectively with cross-functional teams, including data scientists and engineers.
Qualifications:
- Technical Skills:
- Proven track record of leading successful AI/ML projects. Experience 6-8 years.
- Expertise in generative AI, large language models, OpenAI technologies, Langchain, Llama and prompt engineering
- Practical understanding of OpenAI’s language models (e.g., GPT-3, GPT-4).
- Strong programming skills in Python and proficiency in deep learning frameworks (TensorFlow, PyTorch).
- Knowledge of natural language processing (NLP) techniques and tools.
- Experience in model training, evaluation, and optimization.
- Degree in AI, Computer Science, or related field.
- Practical experience in deploying AI/ML models in production environments.
- Ethical AI awareness and experience in building responsible AI systems.
- Version control systems (e.g., Git) for code management and collaboration.