Medior/Senior Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our team!

What we do:

Our team constructs and maintains reliable, secure data pipelines that form the backbone of business analytics, reporting, and machine learning. We strive to maximize data impact by adhering to machine learning best practices and creating comprehensive end-to-end solutions. Specializing in the development of machine learning pipelines for Computer Vision and Recommender Systems, we also concentrate on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Predominantly, we leverage the AWS and Azure platforms to ensure our AI solutions are scalable and efficient. 

What we like to use:

• PyTorch and TensorFlow
• Transformers, Scikit, Pandas and Numpy
• MLflow, HuggingFace
• Vector databases (Pinecone, Qdrant, Weaviate)

• Langchain, LLamaIndex
• AWS / Azure / GCP

About you:

• You have extensive experience with Python
• You have advanced experience with deep learning frameworks
• You have advanced experience with machine learning pipelines
• You have experience with any of the following areas:
  • Computer Vision 
  • NLP 
  • Recommendation engines
  • LLM and RAG based systems
• You have experience with MLOps
• You have a solid SQL knowledge
• You have a solid grasp of distributed systems basics
• Experience with data cloud-native services is a plus
• Communicate effectively. You know how to express yourself in verbal or written form.
• You like learning new things and are open to exploring different approaches to solutions
• You like a healthy balanced relationship between work and free time – we don’t like overtime
• You know when and how to ask for help – we’re here to work together

What we offer:

• Clearly defined pay grades: from L1 (talented junior) to L10  (principal)
• The Career path that connects these grades – you know where your life is going (at least here with us)
• Loyalty coefficient: 10% on net compensation after 3 years in SmartCat, 20% on net compensation after 5 years
• Knowledge budget: extra money for conferences, books, and training of your choice
• Flexible working hours and remote work 
• End-of-the-year bonus program 
• We are transparent – from L-levels to salary, strategy, financial reports, and beyond
• You will have our full support towards gaining expertise
• An excellent team of senior engineers and data scientists