استخدام Machine Learning) Senior Python Developer-دورکاری)
دستهبندی شغلی
وب، برنامهنویسی و نرمافزار
موقعیت مکانی
تهران
، تهران
نوع همکاری
تمام وقت
دورکاری
حداقل سابقه کار
سه تا شش سال
حقوق
از ۲۰۰,۰۰۰,۰۰۰ تومان
شرح موقعیت شغلی
Machine Learning (ML) Engineer
Please read the JD carefully and apply only if you meet the requirements, thanks.
Track A: EU Market Collaboration (Real Identity)-Salary range after securing the job ($2000-$2500)
Identity & Compliance: Onboarding for this position relies on your verified legal identity. Background checks, contracts, and platform access will be fully tied to your real name and official documentation.
Work Logistics: Direct collaboration with European data teams and enterprise partners. Expect meetings to fall within European business hours (CET), requiring transparent communication under your legal profile.
Track B: US Market Collaboration (Proxy Policy)-Salary range after securing the job ($3000-$3500)
Identity & Compliance: This position operates under a proxy structure to comply with US market and sanction restrictions. You will be assigned a specific profile identity to utilize across all client channels, cloud environments, and internal tracking tools.
Work Logistics: You must ensure an uncompromised, high-speed, and consistent network connection setup to maintain the proxy framework. Flexibility to attend critical model reviews or deployment syncs during US business hours is required.
Compensation & Interview Flow: Candidates entering the US market pipeline (only) will receive a monthly reimbursement of $300 during the interview and preparation phases until a job is successfully secured. Upon securing the placement, you will transition immediately to your full, fixed monthly salary.
Core Requirements & Tech Stack
Experience: Minimum 4 years of proven experience designing, training, and deploying ML models in production environments.
Language: Excellent English communication skills (advanced/fluent) to explain complex data architectures and algorithmic logic.
Core ML Frameworks: Deep expertise in Python, PyTorch, or TensorFlow, alongside standard libraries (Scikit-Learn, NumPy, Pandas).
Data & Engineering: Solid experience with MLOps pipelines (MLflow, Kubeflow, or DVC), data pipelines (SQL, Spark), and containerization (Docker/Kubernetes).
Deployment: Proven track record of serving models via REST APIs (FastAPI/Flask) and scaling them on cloud infrastructures (AWS SageMaker, Azure ML, or GCP).
We build, scale, and maintain cutting-edge digital products for startups, enterprises, and everything in between.
At PrimeCore Solutions, we specialize in delivering full-cycle development services — from web and mobile apps to AI and blockchain solutions. We also connect top-tier senior developers with leading companies across the US and Europe.
Got a powerful idea or an existing product that needs a boost? Let's bring it to life. From strategy and design to development and launch — we handle it all.