Data Scientist / ML Engineer

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

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Data Infrastructure and Analytics

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