Data Scientist

4 weeks ago

Pune Maharashtra, India Rapid Circle Full time

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change? Then this vacancy is for you

As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.

At Rapid Circle we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.

Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a Data Scientist

If you recognize yourself in this, then you might just become our Data Scientist.

**About the Role**:
**Key Responsibilities**:

- ** Model Building**: Design, develop, and refine machine learning models using PyTorch or similar frameworks tailored to specific project requirements.
- ** Data Analysis**: Investigate training datasets to identify anomalies, biases, or data quality issues, and implement improvements to optimize model performance.
- ** Feedback Loop**: Create and manage a feedback mechanism to gather user input, enabling continuous retraining and optimization of the models.

**Qualifications**:

- ** Experience**: 2-5 years of hands-on experience in data science, specializing in machine learning and model development.
- ** Technical Skills**:

- Expertise in PyTorch or equivalent deep learning frameworks.
- Strong foundation in machine learning algorithms.
- Proficient in Python, with experience in relevant libraries such as NumPy, Pandas, and Scikit-learn.
- Familiarity with data preprocessing and augmentation techniques.
- Experience in identifying and addressing issues in training data.
- Familiarity with common neural network architectures like architectures like Transformers, GANs, VAE, RNN, CNN, etc.
- ** Problem-Solving**: Strong analytical skills to diagnose data-related issues and enhance model accuracy.
- ** Collaboration**: Ability to work closely with a full stack developer, focusing on model development while other team members handle infrastructure.

**Preferred Qualifications**:

- Experience with MLOps.
- Familiarity with model evaluation methods in production environments.

**What We Offer**:

- Opportunity to work on cutting-edge machine learning projects in a collaborative and innovative environment.
- Professional growth opportunities in machine learning and data science.

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