رادوین | Radvin

کامپیوتر، فناوری اطلاعات و اینترنت ۲ - ۱۰ نفر

فرصت‌های شغلی ۰

استخدام برنامه‌نویس هوش مصنوعی (AI)

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Senior AI Engineer (Applied AI / ML)

Company: Radvin

Job Type: Full-time

About Radvin

Radvin is an enterprise software company building intelligent HR platforms that combine automation, analytics, and AI-driven decision support. Our AI systems power document intelligence, recruitment automation, predictive analytics, smart reminders, and advanced reporting.

We are looking for a Senior AI Engineer who can design, build, and productionize real-world AI systems, not just models — with a strong focus on reliability, testing, scalability, and ethical AI. Making sure we both wokr on API from LLMs and local computed LLM.

Responsibilities

Design and implement AI/ML solutions across multiple HR domains
Develop NLP pipelines for resumes, HR documents, emails, and system text
Build document intelligence systems (OCR, classification, entity extraction, tagging)
Implement predictive analytics models (employee turnover, performance, hiring success)
Develop AI-driven recruitment features (CV parsing, candidate scoring, ranking, clustering)
Build intelligent reminder and alert systems with personalized timing and escalation logic
Integrate ML models into production backend services (APIs, batch jobs, pipelines)
Design and maintain end-to-end ML pipelines from data ingestion to inference
Monitor models in production and handle data drift, model drift, and retraining
Collaborate closely with backend, frontend, and product teams
Contribute to architectural decisions and mentor junior engineers

Testing & Quality (Mandatory)

AI at Arvin must be testable, measurable, and production-ready.

You will be expected to:

Write unit tests for data pipelines, feature engineering, and model logic
Apply property-based testing for data and ML assumptions
Design and maintain integration tests between AI components and backend services
Implement end-to-end (E2E) testing for ML pipelines
Perform regression testing to ensure model updates do not degrade performance
Use A/B testing to compare models and measure real-world impact
Implement context-based testing (user segments, departments, scenarios)
Contribute to:
- Functional and non-functional testing
- Performance testing (latency, throughput)
- Security testing (data access, model exposure)
- System and acceptance testing
Ensure all AI workflows are automated in CI/CD pipelines

Required Skills & Experience

5+ years of experience in AI / Machine Learning / Applied Data Science
Strong proficiency in Python
Solid experience with machine learning algorithms and statistics
Hands-on experience with NLP (spaCy, transformers, text classification, NER)
Experience with OCR and document processing (Deepseek OCR)
Experience with scikit-learn, Pandas, NumPy
Experience building production ML systems, not just experiments
Strong understanding of model evaluation, validation, and explainability
Experience with Git and collaborative development
Ability to write clean, maintainable, and well-documented code

Nice to Have (Plus)

Experience with Deep Learning frameworks (PyTorch or TensorFlow)
Familiarity with MLOps practices (MLflow, model monitoring, retraining)
Experience with Kafka or streaming data pipelines
Experience integrating AI with backend frameworks (Django, FastAPI)
Knowledge of data privacy, fairness, and ethical AI
Experience with Docker, CI/CD, and deployment workflows
Familiarity with analytics dashboards and visualization tools

What We Offer

Work on end-to-end AI systems with real business impact
High technical standards and engineering ownership
Opportunity to shape AI architecture across the platform
Professional, product-focused engineering culture
Competitive salary based on experience
Stable, long-term product vision

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