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Machine Learning Engineer - GenAI Systems
Crisil
posted 8hr ago
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Flexible timing
Key skills for the job
Job Description
Machine Learning Engineer - GenAI Systems
Location: Mumbai, Pune (or willing to relocate)
Core Qualifications
- Master s degree. in ML/AI demonstrating expert-level theoretical knowledge and research experience
- Proven track record of published research or innovative contributions to ML/AI domains
- Multiple certifications showing comprehensive expertise across ML domains and platforms
- 5+ years development experience with ability to lead technical strategy and system architecture
- 3+ years ML experience with proven ability to innovate new ML approaches and solve novel problems
- Architecture experience in designing enterprise-scale ML systems and platforms
- Demonstrated success in leading ML system design and implementation for financial workflows or equivalent large-scale projects
Technical Requirements
Programming & Framework Expertise
- Expert-level programming with ability to develop custom ML frameworks and tools
- Architects enterprise-scale ML platforms and innovative ML solutions
- Creates custom MLOps tooling and automation systems for complex workflows
- Designs advanced cloud-native ML architectures and multi-cloud solutions
- Develops novel approaches for ML system optimization and scaling
- Creates custom solutions for specialized ML requirements
- Implements cutting-edge ML infrastructure with advanced monitoring
- Expertise in developing custom AI components for modular workflows
MLOps & Model Deployment
- Framework expertise: Can contribute to framework development and optimization
- Custom solutions: Can develop novel implementations for unique problems
- Architecture design: Can design framework-agnostic ML solutions
- Custom pipelines and frameworks for enterprise-grade ML workflows
- Advanced automation: Can create fully automated ML systems
- Best practices: Can define and implement MLOps best practices
- Implementation of automated fallback mechanisms and model redundancy for critical systems
Cloud Platform Expertise
- Architecture design: Can design enterprise-scale cloud ML platforms
- Multi-cloud: Can implement and optimize cross-cloud solutions
- Cost optimization: Can optimize large-scale cloud deployments for efficiency
- Experience designing multi-cloud strategies for enterprise ML workflows
- Ensuring scalability and cost efficiency across platforms
Data Architecture
- Architects enterprise-scale data platforms with novel storage and processing patterns
- Develops custom data solutions for complex ML requirements
- Creates innovative approaches to data optimization, scaling, and performance
- Designs advanced data security frameworks and compliance systems
- Implements cutting-edge data processing techniques
- Develops custom feature stores and specialized ML data infrastructure
- Creates automated, self-optimizing data systems with advanced recovery mechanisms
- Expertise in designing adaptive data systems that scale dynamically
Security & Compliance
- Architects enterprise-level security frameworks for AI/ML platforms
- Develops innovative approaches to AI system security and privacy
- Creates automated compliance monitoring and reporting systems
- Designs advanced threat detection and prevention systems for ML
- Establishes organization-wide AI security and compliance standards
- Implements advanced privacy-preserving ML techniques
- Develops novel solutions for secure model deployment and monitoring
- Demonstrated ability to create and audit compliance systems for regulatory requirements
Development Process & Methodology
- Process design: Can design and optimize development methodologies
- Innovation: Can introduce and implement process improvements
- Drives cross-functional collaboration for iterative development
- Custom frameworks: Can develop custom data processing frameworks
- Automated systems: Can design self-optimizing data pipelines
- Innovation: Can create novel data processing approaches
Quality Assurance & Problem Solving
- Quality frameworks: Can design enterprise-level quality frameworks
- Advanced testing: Can develop novel testing approaches
- Process optimization: Can optimize quality processes for efficiency
- System analysis: Can analyze and solve enterprise-wide issues
- Innovation: Can develop novel solutions to complex problems
- Leadership: Can guide teams in problem-solving approaches
Cloud Architecture for AI/ML
- Architects enterprise-scale multi-cloud ML platforms
- Develops innovative cloud-native solutions for complex ML requirements
- Creates custom cloud services and tooling for ML workflows
- Designs advanced cloud cost optimization frameworks
- Implements cutting-edge cloud security architectures
- Creates automated cloud infrastructure management solutions
- Develops novel approaches to cloud resource optimization
- Implements cross-cloud redundancy and failover systems
Technical Documentation
- Designs enterprise-level documentation strategies and standards
- Creates advanced architectural decision records and system design documents
- Develops comprehensive ML platform documentation frameworks
- Establishes documentation best practices and governance
- Creates automated documentation generation systems
- Designs documentation for complex distributed ML systems
- Develops training materials and knowledge transfer frameworks
- Establishes enterprise-wide knowledge repositories
Required Tools & Technologies
- Expert-level proficiency in Python, R, and other ML-focused languages
- Advanced expertise in ML frameworks (TensorFlow, PyTorch)
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Experience with distributed computing and GPU optimization
- Advanced knowledge of ML deployment and orchestration tools
- Expertise in automated ML pipeline development
Employment Type: Full Time, Permanent
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People are getting interviews through
(based on 130 Crisil interviews)
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Campus Placement
Referral
Company Website
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37%
22%
12%
12%
3%
2%
12% candidates got the interview through other sources.
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What people at Crisil are saying
Machine Learning Engineer salary at Crisil
reported by
5
employees
with 3
years exp.
₹8
L/yr - ₹9
L/yr
16%
less
than the average Machine Learning Engineer Salary in India
View more details
What Crisil employees are saying about work life
based on 1.5k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Crisil Benefits
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