Exponentia.ai - Artificial Intelligence Engineer - LLM Models (5-8 yrs)

Role Overview :

We are seeking a highly skilled AI Engineer to design, develop, and deploy AI-driven solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), and AWS, with a focus on creating scalable and efficient AI applications that drive business value.

Job Responsibilities :

- Design, develop, and implement AI/ML models, including Generative AI and LLM-based solutions.

- Build and optimize data pipelines and frameworks to support AI model training and deployment.

- Deploy AI models on cloud platforms, leveraging AWS services such as SageMaker, Lambda, and EC2.

- Collaborate with cross-functional teams to integrate AI solutions into business workflows and applications.

- Conduct research on state-of-the-art AI/ML techniques and apply them to real-world problems.

- Develop APIs to expose AI functionalities and integrate them into existing systems.

- Optimize AI models for scalability, performance, and accuracy.

- Ensure compliance with data security, privacy, and ethical AI standards.

Roles & Responsibilities :

Required Skills :

- 5-8 years of experience in AI/ML development with a focus on Generative AI and LLMs.

- Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.

- Hands-on experience with AWS services such as SageMaker, Glue, EC2, and S3.

- Strong understanding of data pre-processing, feature engineering, and model evaluation techniques.

- Experience deploying AI/ML models in production environments.

- Familiarity with APIs and integration tools like FastAPI or Flask.

- Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.

- Strong problem-solving, analytical, and communication skills.

Preferred Qualifications :

- AWS Machine Learning Specialty certification.

- Experience working with Generative AI tools and frameworks (e.g., GPT, BERT).

- Exposure to MLOps tools and practices for model lifecycle management.

- Strong understanding of ethical AI principles and practices.