AI Builder: Models & Agents

Codewave Australia; Bengaluru; On-site; INR 810,000 - 990,000; Full time

Benefits offered by this job

Health cover ₹4L

Flexible hours

Team vacations

Career growth

Flat culture

Bonuses

Ownership

Job summary

Codewave Australia in Bangalore is seeking an AI Builder: Models & Agents to ship ML models into live products. You’ll design, build, and deploy models, fine-tune LLMs, and work on voice-to-text.

You will run experiments, optimize pipelines, and own modules end-to-end. The role offers flexible hours, health coverage, and opportunities for career growth in a flat, bias-free culture.

Qualifications

• 1 to 2 years hands-on in AI/ML.
• Strong grasp of core algorithms (regression, decision trees, clustering).
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Proficient Python with Pandas, NumPy, Matplotlib.
• Basic statistics and probability.
• Familiar with AI-native tools (Cursor, Copilot) and AI-assisted testing/debugging.
• Git knowledge.
• Hands-on data cleaning and visualization.
• Basic cloud (AWS / GCP / Azure) for deployment.

Responsibilities

• Design, build, and deploy ML models to production.
• Fine-tune LLMs for real text-generation tasks.
• Work on voice-to-text and synthesis.
• Build and maintain production ML pipelines.
• Run experiments, tune, and ship — owning modules end to end.

Skills

AI/ML hands-on

Core algorithms

TensorFlow

PyTorch

Scikit-learn

Python

Pandas

NumPy

Matplotlib

Statistics basics

Probability basics

AI testing tooling

Git

Data cleaning

Data visualization

Cloud deployment

Tools

Docker

Kubernetes

Job description

Build the models that turn AI into real outcomes.

Full-time

Bangalore

AI Builder: Models & Agents

Job Description

Build the models that turn AI into real outcomes.

You’ll ship machine learning and generative AI into live products. You’ll be closest to the problem, earliest to adapt and fastest in your learning.

Key focus areas

• Model development & fine-tuning
• LLMs & generative AI
• Voice & audio models
• Production ML pipelines

What you\'ll do

Design, build, and deploy ML models that make it to production. Fine-tune LLMs for real text-generation tasks. Work on voice-to-text and synthesis. Build and maintain pipelines that hold up under load. Run experiments, tune, and ship — owning your modules end to end.

Must haves

1 to 2 year hands-on in AI/ML. Solid grasp of core algorithms (regression, decision trees, clustering) and TensorFlow, PyTorch, or Scikit-learn. Strong Python with Pandas, NumPy, Matplotlib. Basic stats and probability. Comfortable building with AI-native tools (Cursor, Copilot) and AI-assisted testing/debugging. Git. Hands-on data cleaning and visualization. Basic cloud (AWS / GCP / Azure) for deployment.

Good to haves

NLP, computer vision, or deep learning. Docker & Kubernetes. SQL. CI/CD for ML. A solution architect’s instinct — seeing the whole system, not just the module. Designing for scale, cost, and failure before they bite. Choosing the right trade-offs between speed, reliability, and simplicity. Turning fuzzy business needs into clean technical architecture.

What we offer

Full time

• Bangalore
• [e-mail]

• Health cover up to ₹4L for your whole family, including parents.
• Flexible hours and location.
• Auto-approved vacations on team consensus.
• Self-managed career growth, yearly performance-based pay revision.
• Flat, bias-free, playful culture.
• Project and company bonuses.
• Real ownership of org-level work.

See what people say: https://codewave.com/employee-voice

Culture guide: https://heyzine.com/flip-book/054cb3a969.html

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