# Senior AI/ML Engineer - R01570503 at Brillio

> India · Senior · ML / AI · open. Source: https://alderhq.app/jobs/lever%3Abrillio-2%3A8d7b925f-c1f5-4112-bb74-e4d4d9201ee9 (read 2026-11-05).

## Facts (observed)

- Company: [Brillio](https://alderhq.app/companies/brillio)
- Location text: Bangalore, Karnataka, India
- Where it can be done from (inferred): India (evidence: "Location lists "bangalore"")
- Posted: 2026-09-16 (50 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/brillio-2/8d7b925f-c1f5-4112-bb74-e4d4d9201ee9
- Skills listed (inferred): Python, GCP, SQL, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 5): p25 ₹32.9L, median ₹35L, p75 ₹44.1L

## Description (the employer's text)

Senior AI/ML Engineer

### Job requirements

Experience Range: With at least 2 to 4 years of hands-on experience in advanced data science, machine learning, and AI engineering roles Key Responsibilities:

- Design and develop advanced machine learning models using classic algorithms and deep learning techniques to address complex business challenges and deliver measurable improvements
- Conduct comprehensive exploratory data analysis (EDA) and statistical analysis, including hypothesis testing, regression, and classification, to extract actionable insights from large datasets
- Implement, optimize, and deploy AI/ML models on Google Cloud Platform (GCP), ensuring scalability, reliability, and efficient integration into production environments
- Collaborate with cross-functional teams to define data requirements, validate model outputs, and integrate AI solutions seamlessly into existing workflows
- Utilize KubeFlow and BentoML for efficient model orchestration, deployment, and monitoring, ensuring robust operational performance
- Perform rigorous forecasting using methods such as exponential smoothing, ARIMA, and ARIMAX to support data-driven business planning
- Apply probabilistic graph models and advanced statistical methods to enhance predictive accuracy and interpretability of AI solutions
- Maintain high standards for data quality and model performance using frameworks like Great Expectations and Evidently AI, tracking key metrics and outcomes
### Required Skills

- Proficiency in Python and SQL for data manipulation, analysis, and model development
- Hands-on experience with classic machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
- Expertise in statistical analysis including hypothesis testing, T-Test, Z-Test, and regression (linear, logistic)
- Experience with classification techniques such as decision trees and support vector machines (SVM)
- Knowledge of forecasting methods including exponential smoothing, ARIMA, and ARIMAX
- Ability to implement and interpret probabilistic graph models
- Familiarity with tools for model deployment and orchestration such as KubeFlow and BentoML
- Competence in computing and analyzing distance metrics (Hamming, Euclidean, Manhattan)
- Experience with data quality frameworks such as Great Expectations and Evidently AI
### Preferred Skills

- Experience with GenAI and Agentic AI technologies
- Hands-on expertise with PySpark, SAS, or SPSS for large-scale statistical computing
- Proficiency in R and R Studio for statistical modeling and data visualization
### Desired Qualifications

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline
- Certification in machine learning or data science from recognized platforms such as TensorFlow Developer Certificate or Google Professional Machine Learning Engineer
- Certification in cloud technologies, for example Google Cloud Certified - Professional Data Engineer

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Abrillio-2%3A8d7b925f-c1f5-4112-bb74-e4d4d9201ee9 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.