Senior Machine Learning Scientist

Senior Machine Learning Scientist

We are hiring an experienced Senior Machine Learning Scientist to solve complex, large-scale business problems using advanced machine learning, statistics and experimentation. This role is ideal for professionals with strong hands-on experience in ML modelling, deep learning, causal inference and production ML systems.

Location : Bengaluru / Remote

Experience : 6 - 9 Years

Function : Machine Learning / Data Science

Your Future Employer :

A leading AI and analytics organization working with businesses to solve complex problems through Data Science, AI, Generative AI and advanced analytics. The organization offers an environment focused on innovation, collaboration and solving high-impact business problems.

What You'll Do :

• Translate ambiguous business problems into well-defined ML problems and measurable success metrics.

• Build and validate models across classical ML, deep learning, transformers, embeddings and causal inference.

• Design and analyze A/B tests and experiments to measure business impact.

• Work with large datasets using Spark and Databricks for EDA and modelling.

• Develop custom algorithms, estimators and optimization approaches where required.

• Partner with ML Engineers to take research prototypes into production-ready solutions.

• Monitor deployed models for drift, bias and performance degradation.

• Mentor mid-level Data Scientists / ML Scientists and communicate technical insights to senior stakeholders.

What We're Looking For :

• 6 - 9 years of applied Machine Learning / Data Science experience with models deployed to production.

• Strong knowledge of Statistics & Probability, hypothesis testing, Bayesian inference and causal inference.

• Strong understanding of ML algorithms, linear algebra and optimization.

• Hands-on experience with Python, SQL, pandas, scikit-learn and PyTorch/TensorFlow.

• Experience working with Apache Spark and Databricks.

• Strong understanding of A/B testing and experimental design.

• Experience with Git and production-quality research code.

• Exposure to event-driven architecture, microservices or streaming technologies such as Kafka.

• Strong communication and stakeholder management skills.

Why Consider This Opportunity?

• Work on complex, large-scale ML problems with measurable business impact.

• Opportunity to work across advanced ML, experimentation and causal inference.

• Collaborate with experienced Data Scientists and ML Engineers.

• Exposure to cutting-edge AI and analytics solutions.

• Opportunity to mentor and influence the development of ML solutions.