Senior ML Engineer -India(1)

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 & Responsibilities:

● Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.

● 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 opportunity, generating leads, target identification and classification

● Serve as a mentor or guide for junior resources / freshers.

● Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication Skills expectation:

● Must have:

o Ability to think creatively and work well both as part of a team and as an individual contributor o Critical eye for the quality of data and a strong desire to get it right.

o A pleasantly forceful personality and charismatic communication style.

o Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”.

o 3+ years’ hands-on experience of Hands-on in model development, deployment, and operationalization of projects in statistical ML, NLP, etc o Python, with proficiency in class-based coding.

o Strong understanding of coding standards and CI/CD practices. o Proficient in SQL for data analytics including querying, analyzing and processing large datasets.

o ML development experience, particularly in statistical ML regression and classification models.

o NLP expertise, including embedding techniques and transformers, clustering methods.

o Knowledge of statistical techniques for data analysis.

o Understanding of MLOps basics, including model training, data/model monitoring, and retraining.

o Strong theoretical understanding of Machine Learning concepts, as well as DeepLearning-based architectures, cloud-based web services architecture, design patterns, and frameworks

o Comfortable with exploring new research and engineering/development best practices types

o Hands-on experience working on and handling projects in the healthcare domain would be a desired skill o Experience in implementing Deep Learning solutions about, but not restricted to, reinforcement Learning, Natural Language Processing, and Auto ML.

o 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

o Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis.

● Good to have:

o Previous experience working in the healthcare domain.

o GenAI skills, with a focus on prompt engineering and RAG concepts.

o Basic hands-on experience working on projects catering to Natural Language Processing would be a good skill

o Worked on Databricks for Model development.

o Hands-on experience with statistical tools and techniques.

o Basics of Pyspark for data processing. o Experience with Agile/Scrum/DevOps software development methodologies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!