Tech Architect - Machine Learning

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!

Role: Architect – Machine Learning

Experience Level:  8 Years or Above  

Work location:Mumbai, Bangalore & Trivandrum

Role & Responsibilities:
● Developing high-level solution architectures and working with our offshore team of big-data
engineers, Data Scientists, and Analysts to build, test, and assess models that predict and optimize
business outcomes based on the client’s success criteria.
● Apply statistical techniques to analyze and interpret data for meaningful insights.
● Develop sophisticated yet simple interpretations and communicate insights to clients that lead to
quantifiable business impact.
● Building deep relationships with clients by understanding their stated but more importantly, latent
needs.

● Working closely with the offshore delivery managers to ensure a seamless communication and
delivery cadence. Researching and identifying sales opportunities, generating leads, target
identification, and classification
● Serve as a mentor or guide for senior resources/team leads.
● Lead the technical discussion regarding architecture designing and troubleshooting with the clients
and provide solutions proactively as required. Fluent in communication

Skill Required:

• 8+ 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 model development experience, particularly in statistical ML regression models 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 pertaining to, 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.