Junior AI Engineer (Trivandrum/WFO)

About the Role

This Junior AI Engineer role involves working in a fast-paced environment to design and ship AI/ML solutions for business workflows. You will be responsible for combining hands-on coding, model development, and experimentation with local LLMs to automate and optimize operations.

As a member of our early-stage AI team, you will have the opportunity to work on real-world automation problems with direct business impact, across multiple domains and products.

Key Responsibilities

• Build and maintain AI/ML solutions focused on business workflows.
• Implement end-to-end pipelines: data collection, preprocessing, feature engineering, model training, evaluation, and deployment.
• Work with local LLMs (via Ollama) and traditional ML models to solve practical automation problems.
• Set up initial MLOps practices from scratch (basic experiment tracking, versioning, simple CI/CD and monitoring for models).
• Collaborate with senior engineers on solution design while spending most of your time writing and improving code.
• Integrate models into applications and services through APIs or microservices.
• Prepare clear documentation of data flows, model behavior, assumptions, and limitations.

Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or equivalent practical experience.
• Solid Python skills for data processing and model development.
• Understanding of core ML concepts: supervised/unsupervised learning, evaluation metrics, overfitting, etc.
• Experience with at least one ML framework (e.g., scikit-learn, TensorFlow, or PyTorch).
• Ability to work with databases (SQL/NoSQL) and basic messaging/queue systems to move data in and out of models.
• Strong problem-solving mindset, eagerness to learn, and comfort working in a fast-moving environment.
• Good communication skills and willingness to collaborate in a team and with non-technical stakeholders.

What You'll Learn

In this role, you will have the opportunity to grow your skills quickly under the guidance of experienced engineers and exposure to modern AI tooling and local LLMs.

You will work on real-world automation problems with direct business impact, across multiple domains and products, and contribute to AI governance activities such as documenting risks, bias considerations, and approval workflows for new AI features.

Resume Tip

When applying for this role, be sure to highlight your experience with AI/ML models, Python, and ML frameworks, as well as your understanding of core ML concepts and ability to work with databases and messaging/queue systems.

Include any relevant academic or personal projects that demonstrate your skills and experience in AI/ML, and be prepared to discuss your problem-solving mindset and eagerness to learn in an interview.