Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

Job Description

Intern will be working closely with the project team building AI-ML solutions. Will be involved in various model development activities, performing Data Analysis, creating protypes and delving into research papers. Projects will be in the area of Machine learning involving linear and non-linear models for forecasting, Natural Language Processing, Deep learning, Computer vision, Reinforcement learning depending on the project's business use case.

Key Responsibilities

• Design, build and evaluate Machine Learning systems
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems
• Ideate and formulate a pragmatic blueprint for enterprise AI platform solution and subsequent development using Deep learning with a cross-functional team of talented engineers, Motivated self-learner
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient AI based solutions for business problems
• Implement best practices in coding, collaborating and maintaining code repositories
• Maintain quality and ensure responsiveness of AI platforms
• Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines.
• Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity
• Work collaboratively with a cross functional team of engineers under the guidance of an AI platform lead

Required skills

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, deep learning, software architecture, programming languages such as Python, R, etc.
• Have good prototyping skills and an ability to wrangle with structured and unstructured data.
• Strong coder in Python Programming, Tensor flow, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning (Scikit learn, NLTK, Scipy, etc.).
• Strong ability to perform EDA, manipulate data using Pandas/Numpy and other python libraries, should be able to support all data munging and cleansing activities.
• Adept at object-oriented programming in Python
• Git portfolios and blogs are helpful as they let us better evaluate your work.