Machine Learning Engineer GenAI Systems Job
- Crisil
- 3 to 7 Yrs
- Other Maharashtra
- 6 months ago
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Job Description
- Location: Mumbai, Pune (or willing to relocate) Core Qualifications Masters 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 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 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,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Engineer GenAI Systems JobContact Details:
Company: CrisilLocation(s): Other Maharashtra+ View Contact
Keyskills: development system architecture implementation programming Data Architecture Python R AWS Azure GCP distributed computing Security Compliance TensorFlow PyTorch
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CRISIL CRISIL is a an agile and innovative, global analytics company driven by its mission of making markets function better. We are India's foremost provider of ratings, data, research, analytics and solutions. A strong track record of growth, culture of innovation and global footprint sets us ...
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