At ePS Packaging, we’re shaping the future of packaging through technology. As a global leader in industry-specific business and production software, we help packaging companies streamline operations, boost efficiency, and unlock growth.
With over 30 years of experience, a global footprint, and a deep understanding of the packaging industry, we believe one thing above all: our success grows when our customers thrive.
Job Purpose
This role is responsible for designing, developing, and deploying advanced AI/ML and Generative AI solutions to solve complex business problems. The position focuses on building scalable machine learning models and pipelines while enabling data-driven decision-making across the organization.
Core Responsibilities
• Perform advanced data analysis using statistical methods and machine learning techniques
• Conduct exploratory data analysis to derive insights and inform Modeling strategies
• Design, develop, and deploy machine learning and AI models for real-world applications
• Build scalable ML pipelines and workflows for production environments
• Collaborate with business and technical stakeholders to translate requirements into data-driven solutions
• Communicate technical findings clearly to both technical and non-technical audiences
• Mentor junior engineers and promote best practices within the team
• Stay updated with the latest advancements in AI/ML and apply them to improve solutions
• Ensure model performance through proper evaluation, validation, and optimization
• Contribute to identifying new business opportunities leveraging AI/ML/GenAI
• Other duties as assigned.
Required Experience And Skills
• 6–8 years of experience in AI/ML/Gen AI engineering
• Solid proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow)
• Experience with cloud platforms (AWS preferred)
• Hands-on experience with MLOps tools (MLflow, Kubeflow)
• Experience working with Large Language Models (LL
📌 Lead AI Engineer (Bengaluru)
🏢 ePS (eProductivity Software)
📍 Bengaluru
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