Senior Machine Learning Engineer
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Job Description
Lead the development of advanced AI solutions for a global SaaS company's financial platforms. Collaborate with teams and optimize ML models for high-impact projects.
Responsibilities:
- 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 team’s technical capabilities
- Contribute to architectural planning and strategic decision-making for AI/ML initiatives
Requirements:
- 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
Benefits:
- Competitive benefits
- Opportunity to work on global-scale projects
- Professional growth
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