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    Job · 16486189

    Retail Insights logo

    AI/ML Engineer

    Retail Insights · Bengaluru · onsite · Posted 43d ago

    Not disclosed3–5 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    About

    Retail Insights delivers scalable, innovative, and cost-effective IT solutions through centers in India, Dubai, and the U.S. We specialize in Full Stack Development, Data & AI/ML, Mobile, DevOps, and digital platforms like Adobe, Salesforce, Shopify, Snowflake, and Blue Yonder.

    Responsibilities

    • Design, develop, and deploy machine learning and AI models to solve business problems
    • Work closely with business, product, and data teams to translate requirements into AI solutions
    • Perform data exploration, feature engineering, and model training on large datasets
    • Build and optimize models for use cases such as customer personalization, demand forecasting, recommendations, churn prediction, and pricing
    • Evaluate model performance using appropriate metrics and continuously improve accuracy
    • Collaborate with data engineers to ensure reliable data pipelines for model training and inference
    • Support model deployment, monitoring, and lifecycle management in production environments
    • Implement explainability, validation, and bias checks for AI models
    • Document model assumptions, methodologies, and outcomes
    • Support UAT, business validation, and post-deployment optimization
    • Act as a subject-matter expert for AI/ML best practices and frameworks
    • Mentor junior AI/ML engineers and contribute to AI standards and guidelines
    • Stay updated with advancements in AI/ML technologies and apply them where relevant

    Requirements

    • Minimum 3+ years of experience in AI / Machine Learning or advanced analytics roles
    • Strong hands-on experience with Python-based ML development
    • Solid understanding of machine learning algorithms, statistics, and data modeling
    • Experience working with structured and unstructured data
    • Ability to design end-to-end ML solutions from problem definition to deployment
    • Strong analytical and problem-solving skills
    • Ability to explain complex ML concepts to non-technical stakeholders
    • Experience working in Agile / Scrum delivery environments
    • Prior experience in Retail, E-commerce, or Consumer domain is a strong plus

    Education Qualification

    • Minimum 3+ years of experience in AI / Machine Learning or advanced analytics roles
    • Strong hands-on experience with Python-based ML development
    • Solid understanding of machine learning algorithms, statistics, and data modeling
    • Experience working with structured and unstructured data
    • Ability to design end-to-end ML solutions from problem definition to deployment
    • Strong analytical and problem-solving skills
    • Ability to explain complex ML concepts to non-technical stakeholders
    • Experience working in Agile / Scrum delivery environments
    • Prior experience in Retail, E-commerce, or Consumer domain is a strong plus

    Join the team

    Thank you for your keen interest in becoming a part of Retail Insights. We're eagerly looking forward to gaining deeper insights into your candidacy through this application.

    Sourced from foundit

    Skills

    Devopsand bias checks for AI modelsPython-based ML developmentvalidationmobilemachine learning algorithmsblue yonderstatisticsdataAdobeexplainabilityShopifyFullstack DevelopmentAdvanced AnalyticssalesforceSnowflakeData ModelingArtificial IntelligenceMachine LearningAgile Scrum delivery environments

    About Retail Insights

    Retail Insights logo

    Retail Insights

    Retail

    125

    employees

    2014

    12 years old

    Bangalore/Bengaluru, Karnataka

    India

    ₹7.1L PA avg

    Avg at Retail Insights

    About

    Retail Insights specializes in digital transformation for retailers, offering innovative solutions to enhance operational efficiency in retail technology.

    Industries

    RetailIT Services & Consulting

    Employee ratings

    10 reviews

    3.7/ 5

    Culture

    3.0

    Career growth

    3.3

    Work-life

    3.1

    Employees rate it well for

    Skill Development39Work Satisfaction37

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    AI/ML Engineer · waiting for your command