About the Role
This position involves leading the development and operationalization of machine learning solutions, ensuring robust integration into production environments while driving innovation through applied artificial intelligence.
Responsibilities
- Design and implement machine learning models for real-world business applications
- Develop and maintain scalable data pipelines for AI workflows
- Collaborate with engineering teams to integrate models into production systems
- Monitor model performance and implement retraining strategies
- Apply MLOps practices to ensure reliable deployment and monitoring
- Work closely with stakeholders to define data requirements and success metrics
- Optimize data storage and processing for efficiency and scalability
- Conduct exploratory data analysis to uncover patterns and insights
- Support the development of data governance frameworks
- Evaluate new AI tools and technologies for potential adoption
- Document model development processes and system architectures
- Ensure compliance with data privacy and security standards
- Troubleshoot issues in data pipelines and model performance
- Contribute to technical design sessions and code reviews
- Mentor junior team members in data science best practices
- Translate business problems into data-driven solutions
- Use version control and CI/CD pipelines for model deployment
- Apply statistical methods to validate model accuracy and reliability
- Work with cloud platforms to host and scale AI solutions
- Participate in agile project delivery cycles
- Maintain awareness of advancements in AI and machine learning
- Support proof-of-concept initiatives for new use cases
- Ensure reproducibility of experiments and analyses
- Collaborate on cross-functional projects involving AI integration
- Drive continuous improvement in data quality and model performance
Nice to Have
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Background in natural language processing or computer vision
- Certifications in cloud platforms or data science
- Prior work in regulated industries with strict data compliance
- Contributions to open-source data science projects
- Experience with feature stores and model registries
- Knowledge of data mesh or data fabric architectures
- Familiarity with edge AI or on-device machine learning
- Project leadership or technical lead experience
- Experience with real-time data streaming platforms
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Hybrid working model with flexibility for remote work
Team
Collaborative environment within a multidisciplinary team of engineers and data specialists
Projects & Impact
Work on high-visibility initiatives that directly influence client outcomes and operational efficiency through intelligent automation and predictive analytics
Growth Opportunities
Access to continuous learning programs, certifications, and internal knowledge-sharing forums to advance technical and leadership capabilities
Available for qualified candidates requiring work authorization
