We are building an early-stage AI team and looking for a Junior AI Engineer to help design and ship AI/ML solutions for business workflows. You will work in a team, combining hands-on coding, model development, and experimentation with local LLMs (via Ollama) to automate and optimize operations.

Mandatory Skills

AI/ML models, Python, Core ML concepts, ML framework (Scikit‑learn/TensorFlow/PyTorch), MLOps, SQL/NoSQL, Messaging/queue systems

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.
Participate in client demos and discussions to showcase AI solutions and understand requirements.
Contribute to AI governance activities such as documenting risks, bias considerations, and approval workflows for new AI features.

Required Qualifications

0–1 year of experience as an AI/ML Engineer, Data Scientist, or similar role, or strong academic/personal projects in AI/ML.
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.

Nice To Have

Experience running or fine‑tuning local LLMs (e.g., via Ollama) or other open‑source models.
Exposure to workflow automation, or operations-heavy domains.
Familiarity with basic MLOps tools (MLflow, DVC, Weights & Biases) and containerization (Docker).
Basic knowledge of any cloud platform (AWS, Azure, GCP) for deploying services.
Experience integrating ML models into web backends (REST APIs, microservices, Node.js/Next.js).
Understanding of vector databases or simple retrieval/RAG systems for LLM-based solutions.
Awareness of ethical AI, bias, and privacy considerations.

Why Join Us

Be part of a 0→1 AI team, helping to set up AI/ML infrastructure and practices from the ground up.
Work on real-world automation problems with direct business impact, across multiple domains and products.
Grow your skills quickly under the guidance of experienced engineers and exposure to modern AI tooling and local LLMs.

Location:

Trivandrum (WFO)

Infospica

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Junior AI Engineer (Trivandrum/WFO)