SecurityScorecard
Third party security • risk management • vendor risk management • security ratings • Threat Intelligence
Machine Learning Engineer
December 6
AWS
Azure
Cloud
Cyber Security
Docker
Google Cloud Platform
Hadoop
Kafka
Kubernetes
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
Unix
Go
SecurityScorecard
Third party security • risk management • vendor risk management • security ratings • Threat Intelligence
Description
• As an ML Engineer, you will design and optimize machine learning algorithms. • Build scalable data pipelines and deploy reliable models into production. • Collaborate with cross-functional teams to integrate ML solutions into products. • Conduct research to stay ahead of emerging technologies. • Ensure models perform optimally through ongoing monitoring and refinement. • Enhance cybersecurity resilience for organizations worldwide.
Requirements
• 3+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline. • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field. • Strong programming skills in Python. • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. • Solid understanding of algorithms, statistics, and data structures. • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). • Knowledge of CI/CD pipelines and version control systems (e.g. Git). • Familiarity with Linux/Unix command line tools. • PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field preferred. • Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex preferred. • Experience with big data technologies such as Hadoop, Spark, or Kafka preferred.
Benefits
• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements • Much more!
Apply NowSimilar Jobs
November 19
Join Pythian as a Machine Learning Engineer to build and optimize data solutions for clients. Focus on deploying and integrating machine learning models.
🇨🇦 Canada – Remote
💰 $15M Venture Round on 2017-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
November 11
Developing and optimizing machine learning models for GoMaterials' AI applications.
November 5
Build innovative ML solutions for artists using cutting-edge image generation techniques.
October 31
Develop and deploy AI Agents leveraging advanced technologies for Cresta’s customers.
October 17
Clover Health
501 - 1000
Machine Learning Engineer II for Clover's healthcare data-driven initiatives.