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Artificial Intelligence Engineer-Bangalore (AI/ ML/ Data Science)

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Onsite

Artificial Intelligence Engineer-Bangalore (AI/ ML/ Data Science)

Shadowfax Technologies

Artificial Intelligence Engineer-Bangalore (AI/ ML/ Data Science)

Skills

Google Cloud PlatformSQL QueriesE-commerce WebsitesTableauDockerReactNodeDjangoFlaskPythonData ScienceNumPypandasData AnalysisMachine LearningAIAWSGitHubNLP / Natural Language ProcessingFastAPISupply Chain ManagementSupply ChainPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Artificial Intelligence Engineer AI/ML

Location: Bengaluru, Karnataka
Work Mode: Full-time, On-site
Experience: 1+ years
Joining: Immediate joiners preferred

Role Overview

We are looking for an Artificial Intelligence Engineer with 1+ years of experience in AI/ML, Data Science, AI tools, and software development frameworks to join our team in Bengaluru.

The ideal candidate should have hands-on experience with Python, SQL, Excel, AI tools, and data analytics, along with an understanding of either frontend or backend development frameworks. The candidate will work on AI-driven business and analytics projects across Supply Chain Management (SCM), Quick Commerce, Logistics, and Network Planning.

This role requires someone who can combine technical AI/ML capabilities with business understanding, analyze large datasets, develop analytical solutions, prepare management reports, and translate business problems into technology-driven solutions.

Key Responsibilities

  • Develop and implement AI/ML and data science solutions for real-world business and operational problems.
  • Work on AI-driven use cases across SCM, logistics, quick commerce, network planning, and supply chain analytics.
  • Analyze structured and unstructured data using Python and SQL.
  • Build data pipelines, analytical models, and automation solutions to support business decision-making.
  • Use AI/GenAI tools to improve data analysis, reporting, automation, research, and operational productivity.
  • Develop predictive and analytical models for areas such as demand, capacity, network optimization, manpower, inventory, delivery, and operational performance.
  • Work with frontend or backend frameworks to integrate AI/analytics solutions into business applications.
  • Develop APIs, backend services, dashboards, or analytical interfaces as required.
  • Extract, transform, validate, and analyze data from multiple sources.
  • Prepare MIS reports, analytical reports, dashboards, and management presentations.
  • Build automated reporting solutions using Python, SQL, Excel, and Power BI or similar tools.
  • Perform exploratory data analysis and identify trends, patterns, anomalies, and business opportunities.
  • Collaborate with business, operations, finance, SCM, and technology teams to understand requirements and deliver analytical solutions.
  • Convert business requirements into data-driven and AI-enabled solutions.
  • Conduct model performance analysis and continuously improve analytical solutions.
  • Document methodologies, models, processes, and business insights.
  • Support rapid prototyping and Proof of Concepts (PoCs) using emerging AI technologies.

Key Project Areas

The candidate will have the opportunity to work on projects involving:

Supply Chain Management (SCM)

  • Supply chain analytics
  • Demand and capacity planning
  • Inventory analytics
  • Supply-demand matching
  • Operational optimization

Quick Commerce

  • Dark-store / fulfillment analytics
  • Demand forecasting
  • Delivery and capacity optimization
  • Order and customer analytics
  • Inventory and availability analytics

Logistics

  • Route and delivery analytics
  • Network optimization
  • Shipment analytics
  • Transportation planning
  • Cost and productivity analytics

Network Planning

  • Network design and optimization
  • Capacity planning
  • Location and hub analysis
  • Network cost optimization
  • Demand and capacity modeling

Technical Skills

Must Have

  • Python – strong programming and data-analysis skills.
  • SQL – strong understanding of queries, joins, aggregations, CTEs, subqueries, and data manipulation.
  • Practical knowledge of AI/ML and Data Science concepts.
  • Hands-on experience using AI/GenAI tools for analysis, coding, automation, research, or productivity.
  • Strong Excel skills, including Pivot Tables, lookup functions, data analysis, and reporting.
  • Good understanding of data cleaning, transformation, visualization, and exploratory data analysis.
  • Experience in preparing reports, dashboards, and management insights.

Frontend / Backend

Experience with at least one frontend or backend technology/framework is preferred:

  • FastAPI / Flask / Django
  • Node.js
  • React / Angular
  • REST APIs
  • Backend application development
  • Web application integration

Knowledge of integrating AI/ML models with applications or APIs will be an advantage.

AI / ML Skills

Exposure to one or more of the following will be preferred:

  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Agents
  • RAG-based applications
  • NLP
  • Predictive Analytics
  • Recommendation systems
  • Forecasting
  • Optimization algorithms
  • Model deployment and APIs
  • AI-assisted automation

Experience with tools such as ChatGPT, GitHub Copilot, Gemini, Claude, or similar AI productivity/development tools is desirable.

Good to Have

  • Power BI or Tableau.
  • Pandas, NumPy, Scikit-learn.
  • Git/GitHub.
  • Cloud platforms such as AWS, Azure, or GCP.
  • Basic understanding of Docker and APIs.
  • Exposure to optimization, forecasting, or operations research.
  • Experience with SCM, logistics, quick commerce, e-commerce, transportation, or network planning.
  • Understanding of business KPIs and operational metrics.

Ideal Candidate Profile

We are looking for a candidate who:

  • Has a strong problem-solving and analytical mindset.
  • Can understand a business problem and translate it into a data/AI solution.
  • Has good pedagogy and communication skills and can explain technical concepts clearly to business stakeholders.
  • Is comfortable working with both technology and business teams.
  • Can independently analyze data and present actionable insights.
  • Is curious about emerging AI technologies and tools and actively experiments with new solutions.
  • Has strong attention to detail and ownership of deliverables.
  • Can work in a fast-paced environment with multiple projects and stakeholders.
  • Is comfortable preparing reports and presenting findings to management.
  • Is a quick learner and hands-on problem solver.

Education & Experience

  • Bachelor's/Master's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related discipline.
  • 1+ years of relevant experience in AI/ML, Data Science, Analytics, Software Development, or AI Engineering.
  • Candidates with project experience in SCM, logistics, quick commerce, e-commerce, transportation, or network planning will have an added advantage.
  • Immediate joiners or candidates with a short notice period are strongly preferred.

Key Skills good to have.

Artificial Intelligence | Machine Learning | Data Science | Generative AI | Python | SQL | Excel | AI Tools | Frontend | Backend | APIs | FastAPI | Flask | Data Analytics | Power BI | Supply Chain | SCM | Quick Commerce | Logistics | Network Planning | Forecasting | Optimization | Automation | Reporting | Business Analytics

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