Machine Learning Engineer

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 40,800-80,400 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 3 Docker @ 3 Kubernetes @ 3 DevOps @ 3 Python @ 6 Spark @ 2 CI/CD @ 3 Algorithms @ 3 Data Structures @ 3 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 3 AWS @ 3 Communication @ 3 Data Engineering @ 3 Mathematics @ 3 MLFlow @ 3 API @ 3 Hadoop @ 2 PyTorch @ 3

Details

Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Responsibilities

  • Design & implement machine learning models in production
  • Create infrastructure for data ingestion, cleaning, and transformation
  • Ensure scalability, reliability, and performance of deployed models & infrastructure
  • Work closely with cross-functional teams to integrate machine learning solutions into products and services
  • Document model development processes, experiments, and results for future reference and reproducibility

Requirements

  • Degree in Computer Science, Engineering, Mathematics, or a related field or equivalent work experience
  • 2+ years of experience working as Machine Learning Engineer
  • Proven experience in Data Engineering, Software Development, DevOps, Machine Learning or a related field
  • Strong understanding and proficiency in Python programming language
  • Proven track record of deploying machine learning models in production environments with containerization and orchestration using Docker, Kubernetes, MLflow, etc.
  • Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, HuggingFace, etc.
  • Experience with AWS services - RDS, Lambda, EC2, S3, EMR, SageMaker, etc.
  • Experience with version control systems and CI/CD pipelines
  • Experience developing scalable APIs
  • Familiarity with big data technologies like Hadoop, Spark, etc.
  • Good understanding of Computer Science fundamentals (algorithms, data structures, distributed computing, operating systems)
  • Understanding of Machine Learning fundamentals
  • Strong problem-solving skills and ability to analyze complex problems, troubleshoot issues, and develop practical solutions
  • Ability to communicate problems and solutions with people from different technical backgrounds
  • Attention to detail, and ability to work independently and collaboratively in a fast-paced environment
  • Excellent verbal and written communication skills in English

Benefits

  • Not specified