Machine Learning Engineer

10+ years of experience in AI/ ML Model development and deployment, Deep Dive Analysis.

Expertise in implementing data driven solutions end to end using Statistical Techniques, Machine Learning, Deep Learning and MLOps frameworks.

Data Science Competencies Supervised and Unsupervised Machine Learning and Deep Learning Algorithms.

MLOps - Model Validation, Explainability, Monitoring & Management (AI Glass Box).

Latent Sematic analysis, Document Similarity Models, Document Classification, Text Analytics and Language Models.

Recommender Systems - Content based and Collaborative Filtering.

Computer Vision and Image Analytics - Neural Nets, Convolution Neural Nets and Recurrent Neural Nets.

Statistical Modeling and Predictive Analytics.

Tools & Technologies:

Python, Keras/TensorFlow, NLTK, SQL, PySpark, Hive.

ADO skills will be good.

Banking experience will be plus.