About this role
The team is seeking a skilled Data Scientist specializing in Deep Learning and Model Building. The ideal candidate will have hands-on experience in developing state-of-the-art and scalable Machine Learning models, with a focus on operationalization and leveraging production-ready tools.
Key Responsibilities:
- Develop and implement innovative Machine Learning models using Python.
- Utilize data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, and Matplotlib.
- Work with common Machine Learning frameworks including TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, and SpaCy.
- Collaborate with cross-functional teams to integrate models into production environments.
- Analyze and interpret complex data sets to provide actionable insights.
Required Skills & Qualifications:
- Strong proficiency in Python and its data-science libraries.
- Experience with deep learning frameworks and model building techniques.
- Ability to operationalize Machine Learning models effectively.
- Excellent problem-solving skills and a passion for data-driven decision making.
Experience:
- Minimum of 3 years of hands-on experience in data science and Machine Learning.
What we offer:
- An opportunity to work on cutting-edge technology in a dynamic environment.
- A collaborative team culture that values innovation and creativity.
- Opportunities for professional growth and development.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.