AI / ML Engineer
Build and productionize ML models across NLP and computer vision.
What You'll Do
Build, train, and productionize ML models across NLP, computer vision, and automation workloads.
Your Impact
Here's what you'll be responsible for in this role
Develop reusable training pipelines and evaluation harnesses
Experiment with foundation, open-source, and classical models
Collaborate with product engineers on inference APIs and integrations
Instrument models for telemetry, explainability, and guardrails
Document learnings, benchmarks, and release notes
What We're Looking For
- 3–6 years in ML engineering or applied research
- Proficiency in Python, PyTorch/TensorFlow, and data processing frameworks
- Experience shipping ML workloads into production services
- Understanding of prompt engineering, RAG, or CV pipelines
- Strong debugging, experimentation, and collaboration skills
What We Offer
We believe in taking care of our team members
Apply for AI / ML Engineer
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AI / ML Engineer
AI Engineering
Key Skills
Application Tips
- Keep your cover letter under 600 words
- Highlight measurable achievements
- Tailor skills to match the job description
- Upload a PDF resume for best results
What happens next?
- 1Application review (3–5 days)
- 2Technical / culture screening call
- 3Final interview round
- 4Offer & onboarding