We are seeking an experienced AI ML Engineer/AI Data Scientist to join our team, with a strong background in Artificial Intelligence and Machine Learning. The ideal candidate will have 4 -7 years of experience in AI/ML and a proven track record of designing and deploying deep learning concepts to generate business value.

Key Responsibilities :

- Designing deep learning concepts and deploying machine learning solutions to generate business value

- Applying statistical and calculus concepts to drive business outcomes

- Working in the domains of Natural Language Processing (NLP) and/or Computer Vision (CV)

- Utilizing machine learning techniques like Random Forest, Support Vector Machine, and Gradient Boosting Machine

- Applying deep learning techniques across Recurrent Neural Networks, Convolutional Neural Networks, and Transformer Architectures

- Developing and deploying Generative AI techniques like RAG, Agentic Workflows, and Graph RAG

Required Skills :

- Experience : Experienced AI Scientist with 4 - 6 years of experience in AIML.

- Design : Designing deep learning concepts.

- Mathematics : Good in Statistical and Calculus concepts.

- Domains : Applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV).

- Deployment : Generative AI and deploying Machine Learning (ML) solutions to generate business value.

- Statistical Methods : Solid theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling

Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.

- Machine Learning : Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.

- Deep Learning : Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV) with a consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization.

- Generative AI : Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc.