AI/ML Engineer

Retail Insights; India; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Retail Insights, in India, seeks an experienced AI/ML engineer to design, build, and deploy scalable ML models across product and analytics teams. You will translate business requirements into AI solutions, perform feature engineering on large datasets, and collaborate with data engineers to ensure reliable pipelines for model training and inference.

Responsibilities include evaluating models, deploying them to production, ensuring explainability and bias checks, and mentoring junior engineers.

Qualifications

• 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.

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

Skills

Python

ML Algorithms

Statistics

Data Modeling

Agile/Scrum

Analytical Thinking

Explain ML Concepts

Stakeholder Communication

Job description

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.

• 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

• 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