Senior Python ML Engineer

Wymagania 4+ lat doświadczenia na podobnym stanowisku - Python MLOps Engineer / Python ML Developer (mocny skill w develomencie Python)  Bardzo dobra znajomość (kluczowe): Apache AirFlow  Python 3.8 - 3.11  Flask / FastAPI / gRPC  NoSQL  GraphQL    Wskazana znajomość Apache Spark (PySpark)  Doświadczenie w projektach NLP  Znajomość narzędzi...

What you’ll need to succeed in this role: 5+ years of commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, Deep Learning). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing...

Do we have a match As a Senior/Mid AI/ML Engineer, you must meet most of the following criteria: Solid AI/ML expertise: strong understanding of ML concepts and hands-on experience with classic ML and modern LLM architectures Ability to go beyond APIs: experience designing data flows, embeddings, RAG pipelines, fine-tuning, or agent-based systems Strong...

proficiency in Python programming (5 years of experience), practical knowledge of building regression and classification models, good knowledge about neural networks, decision trees, forests etc., being familiar with techniques like deep learning, transfer learning, proficiency in ml frameworks like scikit-learn, tensorflow, good understanding of...

🎯 What you’ll need to succeed in this role: At least 3+ years of proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python: writing...

5+ years of hands-on experience in MLOps or ML Engineering. Strong expertise with AWS services, including SageMaker, Lambda, ECR, ECS/EKS, S3, and Step Functions. Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Solid understanding of CI/CD automation, containerization, and infrastructure automation. Strong analytical...

What you’ll need to succeed in this role: 5+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, Deep Learning). Proficiency in developing ML algorithms from scratch to production deployment. Strong programming skills in Python:...

To qualify for the role, you must have: 5+ years of experience in MLOps or ML Engineering.  Strong hands-on expertise with AWS (SageMaker, Lambda, ECR, ECS/EKS, S3, Step Functions).  Deep understanding of CI/CD for ML systems.  Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).  Strong background in containerization,...

Experience as an AI/ML Engineer or similar, delivering NLP and ML models in SaaS. Strong ML knowledge with hands-on use of NLP libraries (spaCy, Hugging Face, PyTorch, TensorFlow). Experience deploying and scaling LLM apps (fine-tuning, RAG, evaluation, monitoring). Strong Python skills (preferred) and experience building APIs and connecting AI models to...

Do we have a match? As a Senior Python Software Engineer with LLM‑Driven Network Data Analytics you must meet the following criteria: At least 5 years of Python development experience focusing on data processing and visualizations using tools such as requests, pandas, matplotlib, altair, plotly, jupyter, pytest or similar. At least 1 year of hands‑on...