Applied AI ML Positions
Core
Design and develop automation-based systems for data analysis, document management, and client intelligence using machine learning.
Role type
Senior Applied AI/ML Engineer (NLP & Speech)
Builds
Production-ready NLP and speech recognition systems, large-scale ML frameworks, and automation tools for data processing.
Domain
Financial Services / Applied AI / NLP / Speech Recognition
Deliverable
production ML models
Required skills
NLP, speech recognition, distributed deep learning, model training, A/B testing, data quality analysis, hyperparameter optimization, CI/CD for ML, containerization, statistical testing, time-series prediction, reinforcement learning, recommendation systems
Preferred skills
Elasticsearch, BM25 ranking, Transformer encoders (BERT, Sentence-Transformers), cloud-native managed services
Technologies
PyTorch, TensorFlow, HuggingFace, Keras, Spark, AWS, Azure, GCP, Docker, Jenkins, GitLab CI/CD, GitHub Actions, TensorBoard, NLTK, spaCy, Rasa NLU, Numpy, Pandas, Elasticsearch
Responsibilities
Research machine learning methods for data processing and analysis; build ML models for NLP, speech, time-series, RL, and recommendations; develop large-scale frameworks to accelerate ML usage; collaborate on deploying solutions to production.
Seniority
Senior, hands-on IC
