AI Engineer

Role & responsibilities

- Bachelor's in computer science, Artificial Intelligence, or a related field.

- Proficient programming skills in languages like Python

- Strong expertise in deep learning frameworks

- WatsonX Experience is a plus

- Solid understanding of machine learning principles, especially in the context of language models.

- Experience with large-scale data processing and distributed computing.

- Excellent problem-solving skills and the ability to work collaboratively in a team environment.

As an AI Engineer specializing in NLP, your work will contribute to the development of advanced applications, including conversational AI, chatbots, Task Automation and language understanding systems. This role requires a blend of technical skills, creativity, and a commitment to staying abreast of the latest advancements in AI and NLP.

Requirements

Mandatory skills
Python
Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)
Generative AI
Agentic AI

multi Agent frame works

Crew AI Approaches
Generative AI
• Prompt engineering
• LLM fine-tuning (e.g., using Hugging Face, LoRA) and other models/ approaches