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AI / ML Engineer 

Full Time/ Bengaluru
Roles & Responsibilities

To Build AI that matters Industree is looking for a hands-on AI/ML Engineer to help us build  practical AI solutions using our existing data across farmers, communities, ERP, inventory,  production and field operations. Work with real data, real people and real problems — and  turn AI ideas into products that are used, not just prototypes. This is a builder role. You will  take a real problem, work with data and technology, and turn it into a working solution. You  will work closely with our internal Technology team and external development partners.   

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What You Will Do 

● Build practical AI/ML and Generative AI solutions. 

● Build AI assistants and chatbots for farmers, communities and internal teams.

● Use our data to create insights, predictions, recommendations and alerts.

● Build solutions for areas such as inventory, production and demand forecasting.

● Connect AI solutions with existing applications,databases and APIs.

● Work with external developers to integrate AI into existing products. ● Help build AI capability within the Technology team. 

Skills, Qualifications & Experience

● 3–6 years of hands-on experience in AI/ML and software development ● Strong Python skills 

● Experience building and deploying AI/ML applications 

● Practical experience with Generative AI / LLMs 

● Experience with RAG, embeddings or vector databases 

● Strong SQL and database skills 

● Good understanding of APIs and system integration 

● Experience taking solutions from prototype to production 

● Ability to work with real-world data and solve problems independently ● Ability to work with existing systems, data and software, and collaborate with  development partners to integrate AI solutions. 

Relevant Experience  

● AI assistants or chatbots for farmers, communities, customers or employees ● AI applications using real business or user data 

● RAG-based knowledge or data assistants

                                                        

 

● AI features integrated into existing software ● Inventory, demand or production forecasting ● Anomaly detection and recommendation systems ● Automated reporting and decision-support tools.

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