Transforming natural language data into useful features using NLP techniques to feed classification algorithms. Using effective text representation techniques and classification algorithms. Develop and maintain robust data processing pipelines and reproducible modelling pipelines Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Explore data and communicate insights clearly to both a non-technical and a technical audience Analyze experimental results, iterate and refine models to create significant business impact Follow strict coding standards and other software engineering best practices, and be the proponent of the culture in the organization. Requirements Bachelor s Degree in a Quantitative discipline Demonstrable project experience in Data Science/Analytics (Github links preferable) Strong ability to write robust code in Python Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix) Strong problem-solving skills Excellent verbal and written communication skills You take complete ownership of your work and are self-driven. Good to Have Deep Learning Frameworks like Tensorflow, PyTorch etc. Familiarity in working with Azure, AWS, GCP etc. Experience with NoSQL databases, such as MongoDB, Cassandra Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc) Critical thinking skills or problem-solving skills

Things to note: 1. The internship with us is for a period of 6 months 2. The stipend per month will be 12,000/- 3. We are currently working in hybrid mode. 4. The work location is at Brigade Metropolis, Garudacharpalya, Mahadevapura, Bangalore. 5. Remote work isnt offered currently. Must have skills: Should have knowledge about different Operating Systems and different Databases Should be good in scripting languages (like Python, Shell Script) Proficient in Version control system (Git/Bitbucket) Basic understanding on Docker containerization and orchestration Experience in developing Continuous Integration & Continuous Delivery (CI/CD) Pipeline (using Jenkins). Basic knowledge on infrastructure-as-code and should have basic understanding on Configuration Management tools Good understanding on different Cloud Service Providers (like AWS/GCP/DO) Should have basic knowledge on Continuous Monitoring tools Should have strong knowledge on Linux Administration Good to have skills: Should be able to Troubleshoot Multitasking Time Management Good in Problem Solving Quick Learner