Futran Tech Solutions Pvt.
Location: all cities,PA, USA
Date: 2024-12-05T07:31:26Z
Job Description:
Cloud and AI Engineer Responsibilities : - Machine Learning / AI Platform
- Design, develop and document cutting-edge ML solutions, using existing and emerging technology platforms
- Architect extensible technical architectures to deliver the latest in machine learning, AI, and other emerging technology solutions
- Provide technical vision, technical solutions and directions to build modern Machine Learning Platforms, Tooling and Services for ML/AI at Scale.
- Contribute to building a platform to streamline all phases of data-centric innovation, including data organization, data access, data exploration, data science prototyping, productionization, testing, and ongoing monitoring of machine learning pipelines
- Evangelize and drive adoption of the ML platform, and strive for operational excellence
- Oversee the day-to-day operation of the platform, ensuring high availability, scalability and performance and a data-driven approach to continuous measurement and optimization
- Integration
- Defines architecture blueprints for end-to-end systems to including integration of applications, systems, platforms and technical infrastructure
- Design infrastructure, tools, utilities, and automated workflows
- Operate as a trusted advisor for the Machine Learning space, helping to shape use cases and implementation in an integrated manner
- Support the productionization and deployment of data science models and pipelines
- Optimization
- Define standards and create reference implementations pattern for machine learning / AI solution and Azure PaaS
- Responsible for successful analysis, high-level design and delivery of cloud projects
- Partner with data scientists and machine learning engineers to review and co-optimize technical designs
- Optimize machine learning and relevant data processing code for scale and robustness
- Cost Management
- Facilitate in determining architecture goals, cost estimating solutions and reviewing existing cloud deployments for potential improvements to design, availability, recoverability and cost optimization
- Engage in a highly collaborative team environment where your expertise is required to suggest best options to lay foundations for cloud data architecture, scaling, and data development opportunities, cost savings, and vulnerabilities
- Partner with business stakeholders, management, and technology teams to identify needs and guide the delivery of cost-effective, high-performance technology capabilities leveraging enterprise information architecture principles and core data assets
Qualifications: - Knowledge of Azure relevant certifications such as Azure Solutions Architect, Azure AI Engineer
- Deep knowledge in the Machine Learning and data space including designing, building, optimizing and scaling data-intensive ML solutions using distributed computing
- Ability to see and implement patterns that enable solution simplification
- Ability to influence through persuasion
Experience: - BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
- 5+ years of experience in an architecture or engineering role focusing on machine learning models and deploying them into production at scale
- Experience with next generation architectural concepts, including Integrations, advanced analytics, cloud analytics, big data, artificial intelligence, and/or machine learning
- Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems
- Experience working with DevOps on prem or in cloud environments, including but not limited to Deep understanding of compute, storage, networking, Docker/Containers, Kubernetes, cloud APIs and IaaS
- Experience with orchestration frameworks
- Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc
- Strong analytical and problem-solving skills
- Self-motivated individual that thrives in a dynamic environment
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