Description

You will own the development and deployment of production-grade AI and Data Science solutions as an individual contributor.

Responsibilities

• Write clean, production-ready code for machine learning applications.
• Manage the full model lifecycle, including training, serving, and registry management.
• Execute data preparation pipelines and implement ML-Ops principles.
• Apply theoretical knowledge of NLP, neural networks, and time series analysis to solve complex problems.

Required Skills

• 4-7 years of professional experience in software engineering, AI/ML, or Data Science.
• 3+ years of experience with Python and core software engineering principles.
• 4+ years of experience with TensorFlow or PyTorch.
• 4+ years of experience with cloud infrastructure and containerization, specifically Docker.
• 3+ years of experience with ML-Ops principles and model lifecycle management.
• Experience with Azure or AWS cloud platforms.
• Theoretical knowledge of NLP, LLMs, Neural Networks, Topic Modelling, or Clustering.
• Experience with Time Series Analysis (TSA), including anomaly detection and forecasting.
• Knowledge of Retrieval Augmented Generation (RAG) or Speech to Text.

Preferred Skills

• Experience using Azure cloud services.

Key Skills

Education

Not specified