Associate Engineer

What You’ll Be Doing

 

• Work with cross-functional teams (Supply Chain, Manufacturing, Engineering, Quality) to identify business problems, define use cases, and perform root cause analysis.
• Design, develop, and deploy AI/ML and GenAI (LLM-based) solutions to solve real-world industrial and supply chain challenges.
• Develop end-to-end data and AI pipelines using Azure Databricks (PySpark, Delta Lake, Lakehouse architecture).
• Build and deploy LLM-powered applications such as copilots, intelligent assistants, and automation agents using techniques like prompt engineering, Retrieval-Augmented Generation (RAG), and vector search.
• Develop scalable Python-based data processing and AI services, including API integrations for enterprise applications.
• Translate business requirements into production-grade AI solutions, ensuring scalability, reliability, and performance.
• Work on data ingestion, transformation, feature engineering, model training, evaluation, and deployment lifecycle.
• Develop dashboards and visualizations (Power BI or similar) to communicate insights and drive decision-making.
• Collaborate with stakeholders to ensure adoption and usability of digital solutions.
• Contribute to automation initiatives to reduce manual effort and improve operational efficiency.
• Follow best practices in code quality, version control (Git), and basic MLOps (CI/CD, model monitoring). Ensure data quality, governance, and security best practices are followed