Machine Learning Engineer/Data Scientist

We are looking for a skilled and motivated Data Scientist/ML Engineer to join our dynamic team at Quantori. Responsibilities: • Own development data science tools and products (e.g., from last mile data engineering to in-dev or production ML models, Tableau dashboards, chatbot agents, etc.), ensuring their reliability, scalability, and business relevance • Design and implement data science solutions such as predictive models, NLP, and GenAI applications • Collaborate with cross-functional stakeholders to understand their needs and perspectives and drive technical development towards meeting those needs • Support/contribute to the planning of data science initiatives and contribute to the development of business cases (business case ownership will be elsewhere) • Solving problems/issues (Last mile data engineering (Snowflake, DBT)) What we expect: • Full Stack skills with a focus on modeling, with shading towards ML / MLOps • Experience in using Traditional ML (predictive models, NLP, some light black-box optimization (i.e. ORtools, CPLEX) • Experience with AI and GenAI (chatbot agents) • Solid Experience in Python and SQL • Expertise with platforms like Dataiku, Snowflake, Tableau, Gitlab, Streamlit, Artifactory, DBT, and working from a remote Linux development workstation • Experience in ML development and deployment (Dataiku, Gitlab) – predictive models, NLP, and chatbot agents • Expertise with cloud services such as AWS • Expertise in ML frameworks (e.g., TensorFlow, PyTorch/Lightning), programming languages (Python), MLOps technologies (e.g., Weights & Biases, AWS Sagemaker, Ray), and job scheduling frameworks (e.g., Slurm, AWS Step Functions) • EST availability is required We offer: • Competitive compensation • Remote work • Flexible working hours • A team with excellent tech expertise • 6-month contract with possible extension based on project needs and performance Job Types: Contract, Temporary Pay: From $50.00 per hour Schedule: • 8 hour shift Application Question(s): • Are you available to work EST hours? Work Location: Remote Apply Job!