Efficient & Reliable Independent Contributor
Leadership and Mentorship
Advanced Model Development
Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps best practices.
Architect GenAI solutions (RAG, agents, tool‑calling, multimodal systems) aligned to business workflows and constraints.
Define robust GenAI evaluation frameworks covering quality, safety, cost, latency, and business impact.
Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization.
Bachelor’s, Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.