Artificial Intelligence Engineer

Role & responsibilities

We are looking for an AI Engineer to drive the adoption of Artificial Intelligence across manufacturing, supply chain, sales, customer engagement, and internal business operations. The candidate will design, develop, and deploy AI-powered solutions that improve operational efficiency, forecasting accuracy, customer experience, and decision-making. This role requires a combination of software engineering, machine learning, cloud technologies, and business problem-solving.

Key Responsibilities

AI & Machine Learning Solutions

• Develop and deploy machine learning models for: Demand forecasting, Sales prediction, Inventory optimization, Dealer performance analysis, and Customer segmentation.
• Build recommendation systems for product cross-selling and upselling.

Generative AI Applications

• Develop internal AI assistants using LLMs for: Sales teams, Customer support, Dealer queries, and Employee knowledge management.
• Implement Retrieval-Augmented Generation (RAG) solutions using company documents, catalogs, and policies.

Manufacturing Intelligence

• Build predictive maintenance systems for factory equipment.
• Analyze sensor and production data to reduce downtime.
• Create AI-based quality inspection systems using computer vision.
• Develop anomaly detection systems for production lines.

Supply Chain Optimization

• Forecast raw material demand.
• Optimize warehouse inventory levels.
• Predict logistics delays and delivery risks.
• Improve procurement planning using AI-driven analytics.

Marketing & Sales AI

• Develop lead scoring models.
• Build customer behavior analytics solutions.
• Automate marketing content generation.
• Create AI-powered dashboards for sales teams.

Platform Engineering

• Build scalable AI services and APIs.
• Deploy models on cloud platforms.
• Establish MLOps pipelines for continuous deployment and monitoring.
• Integrate AI solutions with ERP and CRM systems.

Required Skills

Programming

Python, SQL, PHP or Node.js (preferred) AI/ML

Machine Learning, Deep Learning, Time Series Forecasting, NLP, Recommendation Systems, Generative AI

Frameworks

PyTorch, TensorFlow, Scikit-learn, LangChain, LlamaIndex Data Engineering

Pandas, Spark, ETL Pipelines, Data Warehousing

Cloud & DevOps

AWS / Azure / GCP, Docker, Kubernetes, CI/CD Databases

PostgreSQL, MongoDB, Vector Databases (Pinecone, Weaviate, Chroma)

Preferred Qualifications

• B.Tech / M.Tech in Computer Science, AI, Data Science, or related field.
• Experience deploying AI solutions in manufacturing, retail, FMCG, or supply-chain environments.
• Knowledge of computer vision for industrial quality inspection.
• Experience with MLOps and production-scale AI systems.
• Total experience: 6 years +
• AI Certifications

Preferred candidate profile