- 4+ Years’ experience in implementing ML solutions in the area of Time Series Modelling, Natural Language Processing, Computer Vision etc.
- Understanding of different supervised and unsupervised learning algorithms - Random Forest, Boosted Trees, Linear Regression, SVM etc.
- NLP Techniques
- Entity Recognition
- Text Classification
- Topic Modelling
- Time Series Modelling
- Anomaly Detection
- Forecasting
- Good Problem-Solving abilities and proficiency in Statistical Concepts
- Problem Solving and Statistical Concepts
- Good understanding of MLOps Architectures and Components
- Concepts of Data Engineering and Data Management including Data Lake architectures
- Log Management in SplunkGenerative AI
- Understanding of Generative AI and GPTs
- Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.)
- Experience in designing and building RAG Implementations
- Exposure evaluating Open source LLM Models
- Experience implementing solutions leveraging LLMsML FrameworksScikit Learn, Pytorch/ tensorflow /Keras/RASA /LangChainCloud / DevOpsGit,CI/CD/Docker/ KubernetesAWS/ GCP Programming Language-Python
Competencies: Digital: Amazon Web Service (AWS) Cloud Computing, Digital: Machine Learning