While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
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Ability to think creatively and work well both as part of a team and as an individual contributor
Critical eye for the quality of data and a strong desire to get it right.
A pleasantly forceful personality and charismatic communication style.
Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”.
3+ years’ hands-on experience of Hands-on in model development, deployment, and operationalization of projects in statistical ML, NLP, etc
Python, with proficiency in class-based coding.
Strong understanding of coding standards and CI/CD practices.
Proficient in SQL for data analytics including querying, analyzing and processing large datasets.
ML development experience, particularly in statistical ML regression and classification models.
NLP expertise, including embedding techniques and transformers, clustering methods.
Knowledge of statistical techniques for data analysis.
Understanding of MLOps basics, including model training, data/model monitoring, and retraining.
Strong theoretical understanding of Machine Learning concepts, as well as DeepLearning-based architectures, cloud-based web services architecture, design patterns, and frameworks
Comfortable with exploring new research and engineering/development best practices types
Hands-on experience working on and handling projects in the healthcare domain would be a desired skill
Experience in implementing Deep Learning solutions about, but not restricted to, reinforcement Learning, Natural Language Processing, and Auto ML.
Exposure to the latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team
Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis.
Experience in designing GenAI chatbots
Proficiency with vector databases
Familiarity with agentic AI frameworks
