Lead AI Engineer (Contract 6-9 Months)

Company: EPS1500EPSP

Location: Whitefield

Type: Full-time

Posted: 2026-10-13

About this role

About ePS Packaging

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
  • Strong 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 La...

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