Role Overview
We are looking for an AI Engineer with strong expertise in Generative AI to join our dynamic team. The ideal candidate will design, develop, and deploy AI/ML models, focusing on generative applications that power creativity and automation.
Key Responsibilities
- Design and implement scalable AI/ML models for real-world applications. Manage the end-to-end model lifecycle : data acquisition, pre-processing, training, validation, deployment, and monitoring.
- Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into Ai products and solutions.
- Continuously optimize models for performance, accuracy, and efficiency.
- Stay ahead of the curve by evaluating emerging AI technologies and research for practical adoption.
- Maintain clear documentation to support reproducibility and team knowledge sharing.
Requirements
- Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field.
- 2-5 years of experience in AI/ML model development.
- Proven hands-on experience with Generative AI (e.g., GPT, LLaMA, Stable Diffusion, Midjourney, or similar models).
- Strong programming skills in Python (PyTorch/TensorFlow, Hugging Face).
- Experience with APIs, cloud platforms (AWS/GCP/Azure), and deployment tools (Docker, Kubernetes).
- Solid understanding of NLP, Computer Vision, or multimodal AI.
- Immediate joiners will be preferred.
Good To Have
- Experience with fine-tuning LLMs and building custom pipelines.
- Familiarity with LangChain, RAG (Retrieval Augmented Generation), or vector databases.
- Knowledge of MLOps practices for deploying and scaling models.
What We Offer
- Opportunity to work on cutting-edge Generative AI projects.
- Fast-paced, collaborative, and innovative work environment.
- Competitive salary package and growth opportunities.
- Be part of a forward-thinking team shaping the future with AI.
