Applied ML Engineer (Video / Multimodal)
AI Video Lab
1,000 to 1,500 USD NET per month
Remote
AI platform for video processing, needing a dedicated ML Engineer for the ML loop.
Responsibilities:
• Define and measure output quality
• Instrument product for labeled training signals
• Ensure pipeline quality and model orchestration
• Profile and reduce cost per video
• Manage external labeling and QC output
Requirements:
• Shipped ML in production
• Video/multimodal/computer-vision experience
• Strong evaluation instinct
• Highly autonomous
• Python fluency
Optional:
• Experience with data/eval infrastructure
• Background in social/short-form video
• Cost-optimization and GPU-utilization
Applied ML Engineer (Video / Multimodal)
AI Video Lab
1,000 to 1,500 USD NET per month
Remote
AI platform for end-to-end video processing; needs a dedicated owner for the ML loop. Build-and-own role working directly with the founder (Tech Lead) and a full-stack engineer.
Responsibilities:
• Define what “good output” means and build evaluation harness (golden sets, regression tests, quality scoring)
• Instrument product to create labeled training signals from accepts/rejects/reorders/re-edits
• Improve pipeline quality (clip selection, shot-quality scoring, pacing, scene/asset understanding, caption timing, music sync)
• Orchestrate hosted foundation models (selection, prompting, fallbacks, retries)
• Profile and reduce cost per video
• Create annotation specs, manage external labeling vendors, and QC labeled outputs (own it end-to-end) after evaluation gaps justify it
• perform fine-tuning when warranted
ML Engineer (NLP / LLM)
Workforce Development Center
1,100,000 to 1,200,000 KZT Gross per month
Astana / Office
Developing digital ecosystem for social and labor sphere
Responsibilities:
• Build, fine-tune, and track model experiments
• End-to-end model development and production maintenance
• Support and improve existing models
• Collaborate with analysts and dev teams
Requirements:
• 3+ years official work experience
• 1.5+ years NLP-focused DS experience
• Deployment of ML, LLM models in production
• Deep knowledge of ML / DL models
• Python proficiency with ML & NLP stack
• Docker basics, Git, databases (SQL, vector)
Optional:
• Experience with AI agents / avatars
• Related ML fields
• Software development skills: OOP, async, REST API design
ML Engineer (Middle, C++ / Computer Vision)
AI SPORT
1200000 to 1600000 KZT Gross per month
Remote
Mobile AI fitness app; on-device inference; exercises recognition via camera; counts reps; tracks user in frame.
Responsibilities:
• Run ML inferences on mobile via ncnn
• Work with pose estimation, landmarks, tracking
• Implement rep counting logic from pose keypoints
• Improve CV/ML pipeline
• Reduce errors (misses, double count, false positives)
ML Engineer (Middle, C++ / Computer Vision)
AI SPORT
1200.000 to 1600.000 KZT Gross per month
Remote
Mobile AI fitness product; on-device inference for exercise recognition, counting, and tracking.
Responsibilities:
• Inference of ML models on mobile via ncnn
• Develop C++ counting logic from pose landmarks
• CV/ML pipeline maintenance/improvement
• Reduce errors (misses, double count, false positives)