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

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