Generative AI Development Design and implement generative AI models for text| code| and multimodal applications.
LLM Engineering Fine-tune| optimize| and deploy large language models (GPT| Claude| Llama| etc.)
Model Training Develop training pipelines for custom generative models and foundation model adaptation.
Python Development Build robust ML applications| APIs| and services using Python and ML frameworks.
Prompt Engineering Create and optimize prompts for various LLM applications and use cases.
Model Evaluation Implement evaluation frameworks for generative AI model performance and safety.
Production Deployment Deploy and monitor ML models in production environments with proper scaling.
Research Innovation Stay current with latest GenAI research and implement state-of-the-art techniques.
Data Pipeline Management Build data preprocessing and feature engineering pipelines for ML workflows.
Collaboration Work closely with product| engineering| and data science teams to deliver AI solutions.
Must have:
Strong knowledge skills for GenAI| NLP and Machine learning| knowledge of data management.
Proficiency in Python| ML frameworks libraries like Langchain| TensorFlow| PyTorch| Hugging Face Transformers.
Good knowledge of Public and Private cloud (Azure| AWS| OpenShift| Dockers| Kubernetes| ELK)| good understanding of microservice architecture.
Experiences Database (SQL Server| Snowflake| SingleStore etc)
Strong analytical| consultative| and team communication facilitative skills
Nice to have:
Understanding of IT Standards| Methodologies| CMM audit requirements
Agile experiences.
Financial institution knowledge.