AI/Ml Software Engineer - Entry Level

JOB SUMMARY

We are seeking a Software Engineer who’s ready to take the wheel in shaping our next-generation AI products and begin their professional engineering journey. You'll help build intelligent systems that directly drive smarter decision-making across the food supply chain.

This isn’t just another engineering job—it’s an opportunity to apply cutting-edge techniques to real-world, high-impact problems at scale and create impact at an early stage in your career.

Key Responsibilities:

• Contribute to Intelligent Systems: Assist in designing and developing applications that support data-driven insights, forecasting, and supply chain optimization. Learn how AI/ML models are applied in real-world business contexts.
• Support Product Development: Collaborate with product managers, engineers, and data scientists to help integrate features into customer-facing applications. Gain exposure to taking projects from prototype to production.
• Learn Data Engineering & Exploration: Work with structured and unstructured datasets. Write SQL queries, build simple data pipelines, and support data transformations using tools like BigQuery, Pandas, and Airflow.
• Hands-On Model Support: Learn how to train and test models using Python libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Support performance benchmarking and experimentation under guidance from senior engineers.
• Contribute to Deployment & Testing: Help implement and test software in containerized/cloud environments (Docker, Kubernetes, GCP). Learn best practices for CI/CD and automated testing.
• Software Engineering Fundamentals: Write clean, maintainable code with version control (GitHub), testing frameworks, and documentation.
• Continuous Learning: Stay curious about emerging AI/ML and software development tools, and bring fresh ideas to the team.

Tech Stack & Tools

• Languages & Libraries: Python, SQL, JavaScript/TypeScript basics; exposure to ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Data & Analysis: BigQuery, Pandas, Jupyter, Looker (for reporting/visualization).
• Deployment & DevOps: GitHub, Docker, Kubernetes (learning under mentorship), basic CI/CD workflows.
• Cloud Platforms: Google Cloud Platform (BigQuery, Vertex AI, Dataflow).
• AI Tools: GitHub Copilot, ChatGPT, Cursor AI (to accelerate learning and productivity).

What you’ll need:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent projects/coursework.
• Solid foundation in programming (Python or Java preferred) and problem-solving.
• Familiarity with SQL and basic data structures/algorithms.
• Eagerness to learn about cloud platforms, modern ML frameworks, and best practices in software engineering.

Nice-to-Have Qualifications:

• Internship, research project, or coursework involving ML, data science, or large datasets.
• Experience building small-scale apps, APIs, or data pipelines (class projects, hackathons, personal projects count!).
• Familiarity with version control (Git/GitHub) and testing frameworks.
• Exposure to cloud environments (GCP, AWS, or Azure) through coursework or projects.

If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development.