Телеграм канал «AIMoLdin Jobs (DSML.KZ)»

ML Engineer
METEOR
1,000,000 to 1,500,000 KZT NET per month
Remote

AI platform for communication.

Responsibilities:
• Develop, evaluate, and deploy generative models for image, video, text, and multimodal applications.
• Build scalable data, training, evaluation, real-time inference, and MLOps pipelines; optimize latency, throughput, memory usage, quality, and infrastructure costs.
• Integrate models into production systems, automate deployment and monitoring, and research and assess generative AI methods for production use.


Requirements:
• 3+ years of machine learning and software development experience, including generative AI models.
• Deep understanding of diffusion and modern image/video-generation architectures.
• Experience with LLM prompting, fine-tuning, evaluation, structured outputs, and tool use.
• Proficiency in PyTorch or TensorFlow and production model deployment on GPUs or cloud platforms.

DSML Apply

ML Engineer (Face Biometrics / Computer Vision / AI Security)
Biometric.Vision
2,000,000 to 4,000,000 KZT NET per month
Almaty / Office

Biometric.Vision develops production-grade AI solutions for Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention, and Identity Verification.

Responsibilities:
• Develop Face Biometrics and Identity Verification solutions, including Face Verification, Liveness, Anti-Spoofing, and Deepfake Detection.
• Build and maintain production ML/CV systems and pipelines; optimize models for high-load systems and large datasets.

Requirements:
• Experience with Face Biometrics, KYC, Identity Verification, or Anti-Fraud; strong Computer Vision and Deep Learning skills.
• Proficiency in Python and PyTorch and/or TensorFlow; experience with production ML/CV systems.
• English proficiency from B2.

DSML Apply

AI Engineer
Til-Qazyna National Scientific and Practical Center
600,000 to 700,000 KZT Gross per month
Astana / Office

Til-Qazyna develops digital and AI infrastructure for the Kazakh language, including linguistic tools, corpora, and open-source models.

Responsibilities:
• Fine-tune and evaluate open-source Kazakh LLMs using LoRA, QLoRA, and PEFT.
• Develop NLP components such as morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
• Build text-crawling, cleaning, deduplication, synthetic-data, and dataset-curation pipelines.
• Deploy NLP models as Docker/FastAPI services and optimize inference.

Requirements:
• 1+ years’ NLP, AI, or machine-learning engineering experience.
• Knowledge of Transformers, embeddings, tokenization, PyTorch, Hugging Face, and Scikit-learn.
• Experience preprocessing structured and unstructured text.
• Practical Docker, Linux, and Git skills.
• Degree in Computer Science, Data Science, or Applied Mathematics.

DSML Apply

Academic Director
ML School Kazakhstan, powered by YSDA
1,300,000 to 1,500,000 KZT NET per month
Astana / Office (part time)

ML School Kazakhstan is a free two-year offline program in Astana, created with Yandex, Astana Hub, and Alem.ai Foundation, training specialists in ML Engineering, ML Research, and Data Science.

Responsibilities:
• Shape the academic model, curriculum, teaching formats, assignments, and assessment.
• Coordinate instructors, teach ML/Data Science, and monitor academic quality and student progress.
• Support student selection and plan the academic calendar.

Requirements:
• Deep knowledge of machine learning, data analysis, applied mathematics, or related fields, with practical ML development experience.
• Technical teaching experience and ability to adapt complex content to different levels.
• Proficiency in Python and major ML/Data Science tools.
• English for professional materials and willingness to work offline in Astana.

DSML Apply

Product Manager
Nace.AI
3,000,000 to 4,000,000 KZT NET per month
Astana / Office

Nace.AI builds AI-agentic products for professional knowledge, supported by leading venture capitalists. The role focuses on developing these products.

Responsibilities:
• Own the product roadmap, prioritize features, and turn customer, market, and data insights into requirements.
• Partner with engineering, design, and AI/ML teams from discovery through launch and iteration.
• Define KPIs, conduct user research, and validate assumptions through experiments and feedback.

Requirements:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Product Management experience, ideally with SaaS or AI/ML products.
• Strong analytical, organizational, communication, and cross-functional collaboration skills.

DSML Apply

MLOps/DevOps Engineer
Eurasian Bank
500,000 to 750,000 KZT NET per month
Almaty / Office

Universal bank serving all customer segments.

Responsibilities:
• DevOps/MLOps
• API deployment and documentation
• ML services architecture
• Monitoring and fault-tolerant services operation
• Pipelines configuration with Airflow
• Integration with internal banking services

Requirements:
• DevOps/MLOps
• API deployment and documentation
• ML services architecture
• Monitoring and fault-tolerant services operation
• Pipelines configuration with Airflow
• Integration with internal banking services
• Microservices architecture
• Python (FastAPI, Flask)
• Linux, Docker, Kubernetes, CI/CD, Nginx
• Relational databases (Oracle, PostgreSQL)
• Pipeline orchestration (Airflow, MLflow)
• Git, Gitlab

Optional:
• LLM

DSML Apply

Computer Vision Research Engineer
Victory-Technology
800,000 to 1,000,000 KZT NET per month
Astana / Office

LegalTech projects

Responsibilities:
• Detecting emotions and psychophysiological states using advanced multimodal architectures
• Designing and training CNN, RNN, Transformers, Audio/Video Fusion, and LLM/RAG architectures
• Building pipelines for extracting landmarks, audio embeddings, and spectrograms
• Synchronizing audio/video, performing cross-validation, and implementing Explainable AI techniques
• Optimizing models, applying MLOps, packaging in Docker, and integrating via API

Requirements:
• 2+ years of experience in ML (CV / Audio / NLP)
• Proficiency in PyTorch and TensorFlow
• Experience with Vision/Audio Transformers and Multimodal Fusion
• Familiarity with RAG/LLM architectures
• Knowledge of Docker, REST API, and MLOps best practices

DSML Apply