Key Responsibilities :
- Design, implement, and optimize Generative AI solutions and RAG frameworks.
- Develop scalable data pipelines, perform ETL, and design dimensional models for optimal data storage.
- Deploy, monitor, and optimize AI models for performance, scalability, and cost efficiency.
- Collaborate with cross-functional teams to align solutions with business goals.
- Communicate complex AI concepts clearly to non-technical stakeholders.
- Stay ahead of the curve by researching and experimenting with new AI architectures and techniques.
Job Experience and Skills Required :
Education : Bachelors degree in Computer Science, Data Science, Machine Learning, or related field (Masters / PhD preferred).Experience : 3+ years in AI / ML, with at least 12 years specialising in Generative AI.Technical Skills :Proficiency in Python, SQL, Pandas, NumPy.
Experience with deep learning frameworks (TensorFlow, PyTorch) and LLM tools (LangChain, Llama-Index).Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Strong data engineering skills (ETL, pipeline design, data modelling).Knowledge of MLOps practices for model versioning, monitoring, and retraining.Soft Skills : Proactive, curious, collaborative, and strong communicator.Preferred Certifications : AWS ML Specialty, GCP ML Engineer, Azure AI Engineer, or similar.Apply now!
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