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 RoleAs 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 plusWhat 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 cultureSeniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesData Infrastructure and Analytics#J-*****-Ljbffr