Intern - Data Scientist

• Internship Duration - 6 months to 1 Year
• Work Location - Noida Sector 3 (WFO)

We are looking for applicants who have a demonstrated research background in AI, Deep Learning and NLP, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.The candidate will collaborate with researchers and engineers of multiple disciplines within Ori, in particular with researchers in data science and development teams to develop advanced NLP and AI solutions. Work with massive amounts of data collected from various sources.

Key Attributes you need to possess: -

• Communication Skills- Written and verbal form are a must have.You will be required to explain advanced statistical content to clients and relevant stakeholders.Therefore, you must have the ability to translate and tailor this technical content into business applicable material with clear recommendations and insights relevant to the audience at hand.
• Technological Savvy/Analytical Skills- Must be technologically adept, demonstrate exceptionally good computer skills, and demonstrate a passion for research, statistics, and data analysis as well as a demonstrated ability and passion for designing and implementing successful data analysis solutions within a business.
• Business Understanding- Someone who can understand the business's needs and develop analytics that meet those objectives through enhanced customer engagement, automation resulting in cost optimization, or business process optimization saving time and labor. However, real value comes from delivering the results that match the actual business need.
• Innovation- Someone who is always looking for the next big thing that will distinguish their offering from others already in the market and must be able to differentiate great from not-so-great analytics

Typical work week look like:-

• Work with product/business owners to map business requirements into products / productized solutions and/or working prototypes of NLP & ML algorithms.
• Evaluate and compare algorithm performance based on large, real-world data sets.
• Mine massive amounts of data from various sources to gain insights and identify patterns using machine learning techniques and complex network analysis methods.
• Design and implement ML algorithms and models through in-depth research and experiment with neural network models, parameter optimization, and optimization algorithms.
• Work to accelerate the distributed implementation of existing algorithms and models.
• Conduct research to advance the state of the art in deep learning and provide technical solutions at scale for real world challenges in various scenarios.
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis.
• Optimizing pre-existing algorithms for accuracy and speed.

Our ideal candidate should have:-

• Ph.D. / Master's degree / B.Tech / B.E. from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, or related fields (strong mathematical/statistics background with the ability to understand algorithms and methods from a mathematical and intuitive viewpoint)
• Theoretical / Practical knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing/Text mining or related fields.
• Technical ability and hands on expertise in Python, R, XML parsing, Big Data, NoSQL and SQL
• Preference for candidates with prior experience in deep learning tools Keras, TensorFlow, Bert, Transformers, LSTM, Python, Topic modeling, Text classification, NER,SVM, KNN, Reinforcement Learning, Summarisation etc.
• Self-starter and able to manage multiple research projects with a flexible approach and ability to
• develop new skills.
• Strong knowledge/experience of data extraction and data processing in a distributed cloud environment.

What you can expect from ORI:-

• Passion & happiness in the workplace with great people & open culture with amazing growth opportunities.
• An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences.
• Chance to work on the cutting edge of technology.
• Freedom to pursue your ideas and tinker with multiple technologies- which a techie would definitely enjoy!!