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Active1mo ago

Senior AI/ML Engineer

BrillioΒ·πŸ“ Bengaluru, Karnataka, India

Employment

Full-Time

Work mode

On-site

Experience

2–4 years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

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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    About this listing

    • Source: Brillio's official careers site Β· still listed there on 7 Nov 2026
    • Posted 16 Sept 2026

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    Role market pulse

    How Machine Learning Engineer demand looks in India

    56/100 Β· steady

    Live jobs

    43

    Posted 30d

    25

    30d movement

    +108.3%

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    16.3%

    Salary listed

    11.6%

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    What they are looking for

    Skills & requirements

    Department Β· AI & Data Engineering

    Hiring company

    Brillio

    Technology

    Brillio helps Fortune 1000 companies move AI from pilot to production with ADAM, agentic AI, data engineering, cloud and CX. OpenAI Select Partner.

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