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.
