AI/ML Engineer
Team Computers
Job Description
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.