Requirements

Expected technologies

Python

NumPy

Matplotlib

PyTorch

SQL

Jupyter

Our requirements

• 3+ years of experience delivering end-to-end Data and AI solutions and products
• Familiarity with machine learning mathematical toolboxes
• Proficiency in Python, pandas, NumPy, Matplotlib, scikit-learn, Transformers, PyTorch
• Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
• Understanding of cloud-native architectures and operations
• Proficiency with SQL and Jupyter notebooks
• Exposure to LLMs and agentic architectures
• Comfortable with data engineering
• Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
• Knowledge of DevOps and MLOps best practices
• Innovative, curious, outcome-focused mindset
• Collaborative mindset striving for win–win situations
• Strong analytical and systems thinking
• Very good spoken and written English

Your responsibilities

• Define and develop proof of concepts for Data and AI products and solutions
• Conduct market and technology research; architect optimal solutions to address business challenges
• Map AI/ML techniques to specific business problems
• Forecast operational AI costs for solutions at scale
• Support business intelligence reporting to guide Data solutions
• Develop end-to-end data products and solutions with an MLOps mindset within Montrose Software’s Data and AI framework
• Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data wealth and structure.