Senior Machine Learning Engineer

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: Senior Machine Learning Engineer

Experience Level: 3 to 8 Years

Work location: Bangalore 

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

Must have skills:

• ​​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