Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 10757815

    Retail Insights logo

    AI/ML Engineer

    Retail Insights · Bengaluru · onsite · Posted 71d ago

    Undisclosed3–7 yrsfulltimeSourced fromLinkedIn

    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 linkedin

    Skills

    AgileScrumModel Deploymentblue yonderfeature engineeringData ExplorationModel TrainingAdobePythonShopifysalesforceSnowflakeData PipelineArtificial IntelligenceMachine LearningData Modelingstatisticsmachine learning algorithms

    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

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    AI/ML Engineer · waiting for your command