Overview

Shadowfax Technologies is looking for an AI Engineer with strong AI/ML and data analysis skills.

Responsibilities

• 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.
• 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.
• Supply chain analytics
• Demand and capacity planning
• Inventory analytics
• Supply-demand matching
• Operational optimization
• Dark-store / fulfillment analytics
• Demand forecasting
• Delivery and capacity optimization
• Order and customer analytics
• Inventory and availability analytics

Qualifications

• Joining: Immediate joiners preferred
• 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.
• Frontend / Backend
• FastAPI / Flask / Django
• Node.js
• React / Angular
• REST APIs
• Backend application development
• Web application integration
• 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
• Knowledge of integrating AI/ML models with applications or APIs will be an advantage.
• Power BI or Tableau.
• Pandas, NumPy, Scikit-learn.

Nice to have

• Understanding of SCM or logistics
• Experience with cloud platforms

Education

• 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.