Posted:4 days ago|
Platform:
On-site
Full Time
Design, develop, and deploy scalable AI/ML models, with a strong focus on Generative AI applications.
Own the complete model lifecycle including data acquisition, preprocessing, model training, validation, deployment, and monitoring.
Collaborate closely with software engineers, data engineers, and product teams to integrate AI models into production systems.
Optimize models for performance, accuracy, latency, and scalability.
Explore emerging AI technologies, research papers, and tools to recommend new approaches for product enhancement.
Create and maintain clear, structured documentation to support reproducibility and team knowledge sharing.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
4 years of hands-on experience in AI/ML model development.
Strong practical experience with Generative AI models (e.g., GPT, LLaMA, Stable Diffusion, Midjourney, or similar).
Proficiency in Python and frameworks such as PyTorch, TensorFlow, and Hugging Face.
Experience working with cloud environments (AWS/GCP/Azure), APIs, and deployment tools like Docker and Kubernetes.
Solid understanding of NLP, Computer Vision, or multimodal AI systems.
Immediate joiners or short notice periods will be preferred.
Experience fine-tuning LLMs and building custom generative pipelines.
Familiarity with LangChain, RAG (Retrieval-Augmented Generation), vector databases, and other modern AI tooling.
Knowledge of MLOps practices for deploying, monitoring, and scaling machine learning models.
A chance to work on high-impact, next-generation Generative AI products.
A fast-paced, collaborative, and innovation-driven work environment.
Competitive compensation and strong growth opportunities.
The opportunity to be part of a forward-thinking team shaping the future of AI.
We encourage you to attempt the assessment honestly and independently to ensure a fair evaluation.
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