Machine Learning Engineer | Mid-Senior | Threat Intelligence
PLN 211,200-358,800 per year
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 @ 3Details
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 related field.
- Strong proficiency in Python programming language.
- Experience deploying machine learning models in production with containerization and orchestration using Docker, Kubernetes, MLflow.
- Experience with machine learning frameworks/libraries like TensorFlow, PyTorch, HuggingFace.
- Experience with AWS services including RDS, Lambda, EC2, S3, EMR, SageMaker.
- Experience with version control systems and CI/CD pipelines.
- Experience developing scalable APIs.
- Familiarity with big data technologies like Hadoop, Spark.
- 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.
- Ability to communicate technical problems and solutions effectively.
- Attention to detail and ability to work independently and collaboratively.
- Excellent verbal and written English communication skills.
Benefits
Not explicitly specified.