Data Scientist / Ml Engineer

Data Scientist / ML Engineer ArriseOlhão, Portuguese Republic, PT

Descrição do cargo

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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