Informacje o stanowisku

Machine Learning Engineer

As a Machine Learning Engineer, you’ll be responsible for designing and developing systems, training, and serving production-ready ML-driven models to solve the most challenging problems at the time. You have a real chance to impact thousands of users, influence product development, and work alongside experienced engineers and data scientists.

• 2+ years of experience with a proven record in ML and data analytics
• Solid programming experience in Python
• Strong English verbal and written communication
• Understanding foundations of Machine Learning (e.g., supervised/unsupervised learning, classification, regression, validation)
• Understanding of NLP fundamentals
• Experience in the development, deployment, optimization, and support of ML solutions
• Experience with AWS (SageMaker, Lambda, SQS, SNS, DynamoDB, Step Functions, Batch, ECS, EC2, S3)
• Experience working with large-scale unstructured and structured data sets and databases
• Experience in building REST API services
• Experience with Postgres, RDS
• Familiarity with Pinecone, ElasticSearch, DeepLake, or other Vector DB.
• Knowledge of Container Services (Docker, Kubernetes, etc)
• Experience with Terraform
• Exposure to LangChain, OpenSource LLM Models, Prompt Engineering, OpenAI API.
• Experience with ML frameworks and libraries: PyTorch, Scikit-Learn, HuggingFace, fastText, Gensim, numpy, pandas
• Experience with data processing tools and frameworks (Apache Spark, Airflow, etc)
• Familiarity with model optimization and compression techniques (distillation, pruning, quantization, etc)

You will:

• Build APIs for ML services in a self-sufficient delivery team that ships code to production frequently
• Develop technical designs once you’re more familiar with the overall architecture
• Work closely with Product Managers to sketch out design requirements given technical constraints in the initial stage of feature development
• Be responsible for the features you built and shipped to production
• Utilize AWS services to build Infrastructure as a Code using Terraform
• Regularly conduct code reviews of your teammates
• Contribute to improving overall engineering culture by sharing your unique experience, learnings, best practices, and patterns

Wrocław - Oferty pracy w okolicznych lokalizacjach