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Job Location: Bangalore/Bengaluru
In this role, you will:
- Play a role of Cloud Engineer/consultant for end-to-end AI/ML solutions including data, technology infrastructure and models.
- Work with the technology team to plan, execute, and deliver cloud migration projects. Contribute towards the best practices regarding handling the migration.
- Provide technical design, implementation, and support services around the creation of cloud landing zones
- Provisioning of migration tooling to accommodate cloud migration plans
- Analysis of source environment workloads for planning migration paths
Required Qualifications, International:
- 7+ years of total experience across Cloud, AI/ML, solution engineering, software development, big data platforms
- 3 plus years as a Cloud Engineer and should have good exposure in Bigdata and Machine Learning models.
- B.S. / B.E. / B.Tech in quantitative disciplines like computer sciences, engineering, AI/ ML.
- Hands-on experience on one of these Cloud Platforms: Google Cloud, Microsoft Azure, Amazon AWS – especially services related to AI/ML use cases and applications
- Server Migration Experience
- Experienced with Load Balancers, Cloud VPCs, Cloud VPN, Cloud DNS, Cloud Firewall, OpenVPN, Route53
- Migration Tools CloudEndure, Migrate for Compute Engine
- Top candidate would have played a pivotal role in migrating solutions from on-prem to cloud, understand the common pitfalls to avoid and able to define the KPI s to measure success of the migration
- Top candidate would have in depth knowledge of entire suite of services in Google Cloud Platform
- Experience with application transformation and modernization & data migrations projects.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
- and environments Understanding of the auxiliary practical concerns in production ML systems.
- Experience with application transformation and modernization & data migrations projects.
- Strong communication, presentation and consulting skills, including technical writing skills and the ability to listen and understand client issues
- Persuasive written and verbal communication skills, proven ability to create client ready marketing material and documentation is a plus
Desired Qualifications:
- Familiarity with AI/ML modeling frameworks like Scikit-learn, SparkML, TensorFlow, PyTorch, Keras and knowledge of AI/ML modeling and production lifecycle
- Cloud experience in banking background preferred
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Takes ownership for responsibilities for own and drive same effort to the team
- Proactive and engaged in organizational initiative
- Cloud Certification example Google Professional Cloud architect.
- Good to have certifications in Data Science, AI/ML or Big data
- Agile practices like Scrum Master, SAFe, etc.
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