Job Summary We are looking for a Senior AI / Machine Learning Engineer with strong expertise in Python and end-to-end AI solution development. The role involves designing, building, deploying, and optimizing machine learning and deep learning models while contributing to scalable, secure, and high-performance application architectures.
Key Responsibilities- Develop, train, optimize, and evaluate machine learning and deep learning models for business use cases
- Build and deploy end-to-end AI solutions including data ingestion, model development, testing, and production integration
- Design, develop, and maintain high-performance Python applications and services
- Ensure scalability, reliability, and security of AI applications
- Build and integrate RESTful APIs and third-party services
- Automate workflows, data processing, and reporting using Python
- Troubleshoot complex application and database issues and implement long-term solutions
- Contribute to system architecture decisions and technology roadmaps
- Lead code reviews, enforce best practices, and mentor junior engineers
- Collaborate with product owners, data analysts, and stakeholders to translate business requirements into technical solutions
Required Skills & Experience- Strong hands-on experience with Python for application and AI development
- Experience developing and deploying machine learning and deep learning models
- Knowledge of end-to-end AI/ML pipelines including data ingestion, training, evaluation, and deployment
- Strong understanding of RESTful API design and integration
- Experience with scalable application architectures and cloud-native services
- Strong debugging and troubleshooting skills across application and database layers
Competencies- Strong analytical and problem-solving skills
- Ability to translate business problems into technical solutions
- Leadership and mentoring capabilities
- Excellent communication and collaboration skills
- Ownership mindset and attention to code quality and performance
Preferred Skills- Experience with cloud platforms and MLOps practices
- Exposure to system design and architecture planning
- Familiarity with automation frameworks and CI/CD pipelines
- Experience working in Agile development environments
