SeniorPrincipal Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
- Lead the end-to-end design development and deployment of advanced machine learning models for production environments
- Build and maintain robust data processing pipelines for training evaluation and inference
- Collaborate closely with data scientists software engineers and product managers to define ML requirements and deliver impactful solutions
- Optimize models for performance accuracy and efficiency through iterative experimentation and tuning
- Integrate ML solutions seamlessly into existing applications and services
- Implement best practices in ML engineering including reproducibility version control and monitoring
- Stay informed about emerging ML/AI technologies and assess their potential for integration
- Mentor junior engineers to strengthen the teams technical capabilities
- Contribute to architectural planning and strategic decision-making for AI/ML initiatives
Qualifications :
- 5 years of experience in machine learning engineering or applied AI
- Strong proficiency in Python and popular ML frameworks (TensorFlow PyTorch Scikit-learn)
- Proven track record of building deploying and optimizing ML models in production environments
- Strong understanding of data processing workflows and software engineering best practices
- Strong knowledge of SQL database systems
- Familiarity with cloud platforms (AWS Azure GCP) and CI/CD pipelines
- Excellent problem-solving communication and collaboration skills
- Upper-Intermediate level of spoken and written English
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- GP
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About Company
At Sigma Software, we are involved with the clients team to contribute to the design and development of a technical solution for their tokenized domain reservation platform. We started by assigning a software architect to design the smart contracts and integrate blockchain into the s ... View more
