senior machine learning

Title: Freelance senior machine learning

Role Summary

Begin your journey in the industry as a senior machine learning professional. You will execute clearly scoped tasks under guidance, learning team standards for machine learning, and contributing to dependable delivery. Success looks like steadily increasing independence, clean handoffs, and crisp updates in a Freelance environment.

Key Contributions

• Implement small tasks/sub-features from a defined backlog with mentor review.
• Produce simple, maintainable outputs (code/docs/artifacts) with basic validations.
• Fix low-complexity issues; escalate blockers promptly with concise context.
• Follow branch strategy, file conventions, and checklists to keep work reproducible.
• Participate in daily/weekly updates; capture notes/links for future reuse.

Ways of Working

• Apply the team’s acceptance criteria and “definition of done.”
• Keep changes small, reviewed, and traceable; write clear commit messages.
• Use async-first updates; summarize outcomes, next steps, and asks.

Collaboration & Communication

• Pair with peers/mentor; ask clarifying questions early.
• Align scope/acceptance with adjacent roles (PM/QA/Design as relevant) before starting.

Growth Signals

• Completes well-defined tasks on time with low rework.
• Incorporates feedback quickly; communicates progress and risks succinctly.

Engagement & Compensation

Employment Type: Freelance

Duration: to years

Work Mode:

Location:

Openings: 2 positions available.

Experience: to years

Billing Cycle: Weekly

Hourly Rate: per hour

Additional Comments:

Must-Haves

• TensorRT-LLM, Git, Keras, Model Evaluation, Cloud Deployment (AWS), Data Pipeline Development