Back
Mid-level generalist ML/data role in metro with broad skills required, increasing candidate competition.
ML, NLP, and automation skills are highly transferable across industries.
Explicit 3–6 years plus mandatory Python, ML, cloud, and ETL skills create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain Python-based automation, AI, and machine learning solutions including NLP, OCR, and Generative AI for sustainability and business projects.
Design and maintain ETL/ELT pipelines for structured and unstructured data from various sources including databases, APIs, and cloud platforms.
Support cloud-based analytics solution implementation using Azure, AWS, Microsoft Fabric and utilize Agile and DevOps practices for collaborative development and deployment.
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, AI, or related discipline.
3–6 years of experience in Data Science, Automation, AI, Analytics, or Data Engineering.
Strong proficiency in Python, SQL, data manipulation libraries (Pandas, NumPy), and experience with machine learning, NLP, OCR, or Generative AI technologies.
Experience developing ETL pipelines, working with APIs, databases, cloud platforms (Azure, AWS, Microsoft Fabric).
Experienced in developing scalable automation and AI solutions for data-driven decision-making within sustainability or environmental contexts.
Able to translate complex business challenges into technical AI and automation workflows collaborating with diverse stakeholders globally.
Familiar with Agile methodologies, DevOps tools (Git, Azure DevOps), and cloud ecosystem analytics to support global consulting delivery.