---
title: "Senior AI/ML Engineer - R01571293"
company: "Brillio"
company_url: "https://www.remjobs.works/companies/brillio"
url: "https://www.remjobs.works/job/brillio-senior-ai-ml-engineer-r01571293-e9e3cca2-4f17-4737-b44e-312721031b51"
apply_url: "https://jobs.lever.co/brillio-2/10aa7b0a-40cc-4f67-98dd-4d86d817281c"
workplace: onsite
location: "Bangalore, Karnataka, India"
employment_type: full-time
seniority: senior
role: ai-machine-learning
region: india
skills: ["gcp", "llm", "python", "pytorch", "spark", "sql", "tensorflow"]
date_posted: 2026-09-16T11:25:46.092Z
first_seen_by_remjobs: 2026-09-16T11:33:31.876Z
---

# Senior AI/ML Engineer - R01571293

**Brillio** · Bangalore, Karnataka, India

Apply: https://jobs.lever.co/brillio-2/10aa7b0a-40cc-4f67-98dd-4d86d817281c

## About the role

$2

##### 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

---

Source: Brillio's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/brillio-senior-ai-ml-engineer-r01571293-e9e3cca2-4f17-4737-b44e-312721031b51