# Senior AI/ML Engineer - R01570503 Source: https://realanalystjobs.com/job/senior-ai-ml-engineer-r01570503-brillio-18e4ad8f Senior AI/ML Engineer - R01570503 at Brillio, an on-site role based in Bengaluru, India. Experience level: 4 Years. Posted on 16 September 2026, read from Brillio's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Brillio](https://realanalystjobs.com/companies/brillio) - Location: Bengaluru, India - Work mode: On-site - Posted: Sep 16, 2026 - Employment type: Full time - Experience level: 4 Years - Source: Brillio's careers page (Lever), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Spark, [R](https://realanalystjobs.com/skills/r) ## Visa sponsorship The posting does not say. Brillio had H-1B petitions approved for 165 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/brillio#h1b-record) ## About this role 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 Description from Brillio's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-ai-ml-engineer-r01570503-brillio-18e4ad8f) and use Apply now there to reach the employer's application. The listing is re-checked against Brillio's careers page daily and removed when it closes. ## Brillio 27 open analyst roles on Real Analyst Jobs. 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