Machine Learning Engineer
21 hours ago
Data Scientist and Machine Learning Architect
About TraceableWe are a leading technology company specializing in innovative solutions for data-driven business decisions.
Salary Range$150,000 - $200,000 per year, depending on experience
Job DescriptionAs a Data Scientist and Machine Learning Architect, you will play a crucial role in designing, developing, and deploying machine learning models that drive business value. You will work closely with our data scientists to understand business requirements and implement solutions using various algorithms and techniques.
This is a key role that requires collaboration with cross-functional teams, including product management, engineering, and analytics. The successful candidate will be able to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Key Responsibilities:
- Design and develop machine learning models using various algorithms and techniques
- Collaborate with data scientists to understand business requirements and implement solutions
- Work with engineers to integrate machine learning models into production systems
- Analyze results and draw conclusions on the impact of machine learning models
To be successful in this role, you will need:
- A Master's or Ph.D. degree in Computer Science, ML, or a related field
- At least 5 years of relevant industry experience with languages, frameworks, and tools such as Python, Spark, Java, Kafka/Kafka Stream, and Kubernetes
- Strong skills in Python, Spark, Java, Kafka/Kafka Stream, and Kubernetes
- Good knowledge of machine learning techniques, including classification, regression, and clustering
- Familiarity with common data query and data processing tools, such as SQL
- Good computer science fundamentals, including data structures, algorithms, performance complexity, and implications of computer architecture on software performance
- Experience in building, deploying, and operating ML pipelines at massive scale using batch and streaming big data technologies in Kubernetes
The following skills would be advantageous:
- Experience working on anomaly detection, security products, and fraud detection
- Experience in the tooling of Python applications
Note: Salary range may vary based on location and experience.
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