A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Are you passionate about artificial intelligence and natural language processing? We are looking for a Junior Data Scientist to join our team and work on innovative projects that leverage cutting-edge technology to transform textual data into valuable insights!
What You Will Do:
Develop and implement machine learning models for:
• Text classification.
• Sentiment analysis.
• Named Entity Recognition (NER).
• Automatic content summarization.
Work with advanced Natural Language Processing (NLP) tools such as:
• NLTK.
• Transformers (Hugging Face).
• Spacy.
• SparkNLP.
• Collaborate with multidisciplinary teams to create scalable and efficient solutions by applying modern NLP and machine learning techniques.
- Solid knowledge of Python, with experience in developing and implementing models based on textual data.
- Familiarity with popular NLP tools and libraries such as NLTK, Transformers, Spacy, and SparkNLP.
- Interest in continuous learning and curiosity to explore new technologies in the field of artificial intelligence.
• Hands-on experience with frameworks like TensorFlow or PyTorch for training custom models.
• Knowledge of preprocessing and cleaning large-scale textual data.
• Ability to optimize models for performance and scalability.