Artificial Intelligence Engineer

Role & responsibilities

Position responsibilities and expectations

• Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools.
• Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown
• Ability to learn new scripting language or analytics platform.

Technical Skills required (must have)

• HandsOn Exposure to Generative AI (Design, development of GenAI application in production)
• Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications.
• Strong understanding of deploying and optimizing AI application in production.
• Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis.
• Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.)
• Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Understanding of LLM Ops, ML Ops for scalable ML development.
• Working knowledge on agents like PyTorch, TensorFlow

Preferred candidate profile

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow