- Build and develop AI/ML proof-of-concepts (POCs) to explore innovative solutions
- Fine-tune large language models (LLMs) and optimize their performance for specific tasks
- Work with multimodal AI systems, integrating text, image, and other data modalities
- Perform data preprocessing, cleaning, and transformation for ML/DL models
- Optimize models for efficiency, accuracy, and scalability
- Deploy AI/ML models on cloud platforms and manage production-level workflows
- Collaborate with cross-functional teams to integrate AI solutions into applications
- Stay updated with the latest research and advancements in Generative AI and ML/DL
Desired Candidate Profile:
- Minimum 2 years of experience as an AI Engineer or ML Engineer
- Solid proficiency in Python and deep learning frameworks such as PyTorch or Tensor Flow
- Hands-on experience in LLM fine-tuning and multimodal AI applications
- Solid understanding of machine learning and deep learning concepts
- Experience with cloud-based ML platforms and deployment workflows
- Passion for Generative AI and staying updated with latest trends in AI research