eProductivity Software
Website:
epssw.com
Job details:
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 Large Language Models (LLMs) and Natural Language Processing (NLP)
- Strong understanding of statistical concepts and machine learning algorithms
- Experience in data preprocessing, feature engineering, and model evaluation
- Familiarity with version control systems (GitHub) and CI/CD pipelines
- Experience with containerization technologies (Docker, Kubernetes)
- Strong problem-solving and analytical skills
- Ability to develop innovative data-driven solution
- Experience in ERP or Supply Chain domain is preferred
- Experience identifying business use cases for AI/ML/GenAI and building relevant models is preferred
- Business-level English proficiency (written and verbal) required.
Why Join ePS
At ePS, you’ll be part of a global, collaborative, and forward-thinking team that’s redefining what’s possible in the packaging industry. We foster an inclusive workplace where diversity drives innovation and every team member’s voice is valued. You’ll have the opportunity to make a real impact, helping our customers operate smarter and succeed sustainably.
Join us and help build the future of packaging technology.
Click on Apply to know more.
