Job Title: AI / ML Developer

Experience: 5+ Years (AI/ML)

LLM Experience: 2–3 Years

Location: PAN India Remote (Except Hyderabad & Andhra Pradesh)

Notice Period: Immediate Joiners Preferred

Job Overview

• We are looking for a skilled AI / ML Developer to design and implement Artificial Intelligence solutions within a complex supply chain and logistics environment. The role involves understanding business requirements and developing scalable AI/ML models that enhance automation, forecasting, and intelligent decision-making across business platforms.
• The ideal candidate should have strong expertise in Python, experience with LLM-based applications, and hands-on experience with machine learning frameworks and AI integration.

Key Responsibilities

• Design, develop, and deploy AI/ML models from concept to production.
• Understand business problems and translate them into AI-driven solutions.
• Develop and maintain machine learning algorithms and AI applications.
• Integrate AI solutions into existing enterprise platforms and workflows.
• Validate, optimize, and deploy machine learning models in production environments.
• Work on automation and intelligent analytics for supply chain operations.
• Integrate AI/ML solutions with data visualization and reporting tools.
• Collaborate with cross-functional teams including engineering, product, and business stakeholders.
• Continuously improve and scale AI systems for better performance and reliability.
• Stay updated with the latest developments in AI, ML, and Large Language Models (LLMs).

Required Skills

• Strong programming experience in Python (Mandatory).
• Hands-on experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience working with LLMs (Large Language Models) for NLP or AI-driven applications.
• Familiarity with ML libraries such as scikit-learn, GluonTS, or Darts.
• Strong understanding of Machine Learning, Neural Networks, NLP, and statistical modeling.
• Experience with SQL and NoSQL databases such as MongoDB and Elasticsearch.
• Exposure to Azure Cloud Platform and CI/CD pipelines.
• Good understanding of data structures, algorithms, and mathematical foundations of ML.
• Experience integrating AI models with enterprise applications and analytics platforms.