Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Primary skills include Classification (Decision Trees, SVM), Distance metrics (Hamming, Euclidean, Manhattan), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis, Tools (KubeFlow, BentoML), T-Test, Z-Test, Langraph, and Agentic AI.
This information is not specified in the job description.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate will have deep expertise in the listed primary skills such as ML frameworks like TensorFlow and PyTorch, statistical methods including hypothesis testing and regression, programming in Python/PySpark and R, and emerging tools like Langraph and Agentic AI.
Technology consulting for digital transformation
Brillio helps businesses with their digital transformation by providing technology consulting services. The company focuses on creating customized digital solutions that utilize artificial intelligence and cloud technologies to meet the specific needs of each client. This includes improving operational efficiency and enhancing user experiences through real-time responses and better workflows. Brillio serves a variety of clients, including large Fortune 500 companies, with a strong emphasis on the healthcare sector. Unlike many competitors, Brillio's approach is centered on developing bespoke solutions that give clients a competitive advantage, aiming to help them evolve into 'generative enterprises.' The company's goal is to drive significant improvements in business operations and outcomes through its consulting services and technology implementations.