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Job Title: Data Scientist / ML Engineer
Location: Remote
Type: Full-time
About Us
Oraion is your single source of truth for enterprise data. Oraion uses agentic AI to turn structured and unstructured enterprise data into non-obvious insights, instantly.
Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a self-serve, chat-based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.
We're looking for a hands-on, data-driven Data Scientist / ML Engineer to join our team and help empower businesses to unlock the full potential of their data.
About the Role
As a Data Scientist / ML Engineer, you will be responsible for developing and deploying machine learning models, transforming complex data into actionable insights, and collaborating with cross-functional teams to drive innovation. You will play a critical role in shaping our AI capabilities, developing ML models for use within our Enterprise Intelligence Platform. Knowledge of LLM's, RAG and Agents would be beneficial.
Responsibilities
* Develop, train, and deploy machine learning models for data analysis and prediction
* Collaborate with data engineers to design data pipelines for efficient model training and deployment
* Perform data exploration, feature engineering, and data preprocessing
* Optimize model performance for scalability and accuracy
* Use NLP, deep learning, and traditional ML techniques to extract insights from structured and unstructured data
* Validate models using A/B testing and performance metrics
* Communicate complex data insights and model results to non-technical stakeholders
* Contribute to the design and evolution of our AI platform and product roadmap
* Have a product mindset, always looking for ways to improve our platform.
Requirements
* Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, or related field, you should have a good grounding in regression and classification problems and the underlying theory.
* 5+ years of experience in data science or machine learning roles
* Proficiency in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
* Experience with NLP, deep learning, and predictive modeling
* Strong understanding of data structures, algorithms, and data manipulation
* Experience building and deploying machine learning models in production
* Familiarity with cloud platforms (AWS) and MLOps tools
* Strong problem-solving skills and ability to work independently
* Excellent communication skills, with the ability to present complex data insights clearly and effectively
* Experience with big data frameworks (e.g., Spark, Dask) is a plus
* Experience working with time series data and anomaly detection is a plus
* Startup experience is a plus
What We Offer
* Ground-floor opportunity to shape data-driven AI solutions at a fast-growing startup
* Work alongside experienced founders and a driven team
* Competitive compensation + early equity
* Remote-friendly, flexible work culture
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Data Infrastructure and Analytics
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