Key Responsibilities:

• Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
• Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
• Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models.
• Implements real-time inference with high availability and low latency.
• Creates strategic plans within span of control and implements them across one to two business domains.
• Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows.
• Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models)
• Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems
• Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
• Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports
• Uses advanced knowledge of code management principles to follow architectural and governance guidelines

Requirements:

• 5 years of experience required in deploying and managing machine learning pipelines, or related work.
• Full English Fluency
• Experience in a leadership role within a fast-paced, technology driven environment
• Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports
• Insurance (PLUS), Healthcare, heavily regulated, audit

Technical & Business Skills:

• Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
• Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust
• Familiar with DevOps practices and tools for continuous integration and deployment. (MUST)
• Experience in Production Support (Maintaining Models, Bug Fixes) MUST
• Collaborative with other areas, Translate, strong communication
• Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior. (MUST)
• Small volumes of data but fast execution
• Automated software and Model Testing (how to know model is behaving properly)

XML job scraping automation by YubHub

Key Responsibilities:

• Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
• Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
• Implements scalable and robust machine learning solutions that can handle large volumes of data and complex models.
• Implements real-time inference with high availability and low latency.
• Creates strategic plans within span of control and implements them across one to two business domains.
• Ensures seamless integration of pipelines with continuous integration and continuous deployment (CI/CD) tools and workflows.
• Supporting and maintaining solutions in production (fixing bugs, make changes as required, maintaining models)
• Collaborates with cross-functional teams to integrate machine learning and business logic-based solutions into production systems
• Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
• Recruits, hires, and mentors' top talent to build a high-performing MLOps team. Supervises, coaches, and guides direct reports
• Uses advanced knowledge of code management principles to follow architectural and governance guidelines

Requirements:

• 5 years of experience required in deploying and managing machine learning pipelines, or related work.
• Full English Fluency
• Experience in a leadership role within a fast-paced, technology driven environment
• Team: Data Scientist, Python Developers, Cross disciplinary (Underwriting, Actuary) 2 Direct Reports
• Insurance (PLUS), Healthcare, heavily regulated, audit

Technical & Business Skills:

• Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
• Modern Oriented Language: Python (PLUS), Java, Typescripts, Ruby, Rust
• Familiar with DevOps practices and tools for continuous integration and deployment.
• Experience in Production Support (Maintaining Models, Bug Fixes)
• Collaborative with other areas, Translate, strong communication
• Business Logic Model, Real Time execution: Business Logic Based Solutions, writing code to determine system behavior.
• Small volumes of data but fast execution
• Automated software and Model Testing (how to know model is behaving properly)

XML job scraping automation by YubHub

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. In this role, you will:

• Design and manage technical design, drive the transformation and innovation
• Lead and guide POD to deliver business outcome with future state architecture
• Review the deliverables and ensure the quality of the product
• Follow quality process and quality improvement initiatives

The candidate will be part of strategic initiative IT team which is responsible for design, develop, maintain and support the solution with a focus on performance improvement with the full automation of DevOps processes and procedures.

• Guide Pod leads to deliver business outcome with future state architecture
• Troubleshoot defects and come up with sustainable solutions
• Work with end to end teams from requirements analysis to production rollout
• Interact with a large global team to come up with strategic solutions
• Build sustainable software with quality, reusability, scalability and supportability

To be successful, you will require strong hands-on React, Core Java, JAVA8, Springboot, Microservices and JUNIT. Primary skillset is React AND Java

• Candidate with strong hands-on tools Jenkins, Git Hub, Splunk, Maven, SonarQube, Checkmarks and AppDynamics
• Candidate with strong hands-on HTML5, CSS, Typescripts
• Good analytical and problem-solving skills
• Skills in trouble shooting Applications deployed on any of the industry standard Front end – React
• Experience in working in DevOps and Agile model
• Contribute towards building strong technical team
• A pragmatic approach to delivering modular and extensible code
• Experience in leading the module/project end to end (Estimation, Planning, Deliveries)
• Good knowledge on JIRA and Confluence
• Exposure of Banking domain
• Knowledge on Cloud / AWS / GCP
• Sound verbal and written communication to interact with global teams
• Good Interpersonal skills and Stakeholder management

XML job scraping automation by YubHub