AI/ML Engineer

eMoldino is an enterprise-level supply chain management (SCM) solutions provider that specializes in cultivating digital transformation for Fortune 500 partners and major manufacturing organizations worldwide. By utilizing cutting-edge technologies, such as AI and machine learning, eMoldino delivers data-driven business intelligence to lead the industry 4.0. movement.

We are currently undergoing an aggressive expansion in the most cutting-edge sector of solution delivery. As a member of our organization, you will gain first hand experience collaborating with Fortune 500 corporate clients. Consulting and working side by side with business partners in the US, EU, and Asia are essential parts of the work.

Our mission is to help global manufacturers rethink supply chain management, driving true corporate innovation and bringing customer experience into the cycle.

Description:

As a Machine Learning Engineer at eMoldino, you will design, develop, and implement machine learning models and algorithms to solve complex problems and enhance the company's products and services. You will work closely with software engineers and product managers to deploy large-scale machine learning solutions.

Roles and Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with various teams to identify and solve business problems using machine learning techniques.
• Analyze large-scale, complex datasets to derive insights and incorporate them into model development.
• Implement data preprocessing, feature engineering, and model evaluation techniques.
• Monitor and maintain the performance of deployed models to meet required performance metrics.
• Stay updated on the latest trends in machine learning and AI research and apply them as needed.
• Write and maintain high-quality code and documentation.
• Participate in code reviews and contribute to the team’s best practices.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as a Machine Learning Engineer or in a similar role.
• Intermediate programming skills in languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-Learn.
• Proficiency in data manipulation and analysis using tools like Pandas and NumPy.
• Experience deploying environmental production models on cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical methods and data modeling techniques.
• Strong problem-solving skills and attention to detail.
• Ability to work effectively in a collaborative team environment.

Good to have:

• Knowledge of machine learning and deep learning techniques.
• Familiarity with version control systems such as GIT.
• Experience with Agile development methodologies.
• Interest or experience in supply chain management (SCM) data modeling.
• Interest or experience in system integration (SI).