AI/ML Architect
SRS Solutions · Mumbai · onsite · Posted 44d ago
Not disclosed9–11 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Title : AI/ML Technical Architect
Education
(ref:hirist.tech)
Education
- Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Masters in AI, Machine Learning, or Data Science is preferred.
- 9- 10 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning.
- Hands-on experience on design, development, deployment and monitoring of AI/ML applications and Python applications.
- Experience in designing scalable AI/ML architectures for enterprise applications.
- Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive modelling.
- Experience on infrastructure resource sizing and optimization for AI applications.
- Strong knowledge of AI Engineering concepts.
- Strong knowledge of data engineering concepts.
- Experience in packaging and deployment of AI/ML applications.
- Hands on design and setup experience of MLOps practices, including CI/CD pipelines for ML models.
- Experience in data governance, security, and compliance for AI-driven solutions.
- Design and implement robust ML pipelines, model deployment strategies, and MLOps frameworks.
- Excellent communication and leadership skills to guide AI/ML teams and collaborate with stakeholders.
- Deep knowledge and understanding on Agentic AI, MCP, and UTCP concepts.
- Lead the end-to-end architecture of AI/ML solutions tailored to central banking use cases.
- Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable technical solutions.
- Design and implement robust ML pipelines and model deployment strategies.
- Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, and Runbooks.
- Lead the estimation, sizing, and AI development and infra requirements.
- Lead the development and deployment of machine learning models for various use cases.
- Establish best practices for MLOps, ensuring efficient model lifecycle management.
- Optimize data pipelines for AI-driven applications, ensuring high performance and reliability.
- Work with cross-functional teams to integrate AI solutions into existing systems.
- Ensure data security, governance, and compliance in AI/ML implementations.
- Research and apply cutting-edge AI technologies, including LLMs, to enhance solutions.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Continuously improve AI/ML strategies and implement innovative solutions.
- Ability to translate business problems into AI-driven solutions and provide strategic recommendations.
- Strong analytical and problem-solving skills with experience in query optimization and debugging.
(ref:hirist.tech)
Sourced from foundit
Skills
Python applicationsAgentic AI MCPCI CD pipelines for ML modelsinfrastructure resource sizingpackaging and deployment of AI ML applicationssecurity and compliance for AI-driven solutionsUTCP conceptsmachine learning algorithmsdeep learning frameworksMl PipelinesPredictive ModellingData Engineering ConceptsAI ML solutioningMLOps practicesModel deployment strategiesAI/ML ArchitecturesData GovernanceAI engineering concepts
About SRS Solutions
SRS Solutions
₹4.9L PA avg
Avg at SRS Solutions
About
SRS Solutions
Employee ratings
10 reviews
2.4/ 5
Culture
2.9
Career growth
2.7
Work-life
2.8
Employees rate it well for
Compensation & Benefits35Overall Company24
Find them on