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

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