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MLOP's Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Client Location: Warren, NJ

Job Description

• Provide subject-matter expertise across all Data & Analytics topics as it relates to adoption utilization and optimization

• Drive the adoption of creative solutions to address complex global business problems leveraging Data & Analytics capabilities

• Lead the development and adoption of reference architectures for existing new and emerging Data & Analytics technologies

• Architect Cloud and Cloud-native Data & Analytics solutions within Microsoft Azure Cloud

• Actively engage in the company's migration to an Azure Data Lake ecosystem Govern the successful technical delivery of Data & Analytics projects and services by working with key business stakeholders executives and project teams

• Create maintain and align Data & Analytics policies and standards with industry best practices and business needs

• Work with the broader IT security risk and compliance organization to interpret policies and standards as they relate to Data & Analytics capabilities

• Work with application developers and IT operations to develop test roll out and maintain enterprise-wide Data & Analytics solutions and services

• Contribute to conducting POCs evaluation selection and configuration of new products and services from vendors Look for opportunities to capitalize on technology advances through analysis of key industry and technology trends while assessing potential impacts on the enterprise

• Partner with Software Engineering to execute prototypes of new technology solutions Develop Data & Analytics code shells frameworks and initial prototypes in new and existing technologies

• Translate business and technical Data & Analytics requirements into an architectural blueprints and roadmaps adhering to enterprise architecture standards

• Act as a liaison between technical teams and business stakeholders during Data & Analytics solution development Provide architecture direction for software and data engineers in support of enterprise technical patterns Display strong thought leadership in pursuit of modern architecture principals and technology modernization

• Build strong partnerships with engineering teams to ensure proper alignment of skills with technology direction Collaborate with Data scientists and ML engineers to understand the Model requirements and help them with efficient deployment process

• Integrate ML model with the current ADB systems and ensure they are deployed in scalable reliable and secure environments

• Provide support to the data scientists and other stakeholders on best practices for using MLOps tools and frameworks.

Qualification

• Bachelor's Degree (required) or Master's Degree (preferred) in Computer Science, Information Systems, or a related field

• 10+ years of overall technology experience strategizing, engineering, configuring and implementing software solutions and services

• 5+ years in the data engineering space with deep experience delivering enhanced analytic and data access capabilities

• Domain knowledge of the Insurance Industry (preferably P&C) and value chain as well as the technologies and solutions relevant to this industry is desired

• Hands-on knowledge of current technology standards/trends coupled with a desire to continually expand personal knowledge/skills

• Ability and interest in mentoring technical staff and raising our collective technical competencies

• Ability to establish and maintain relationships with other business and technology leaders

• Strong written and verbal communication skills coupled with the ability to tailor communication to all levels of an organization

• Open-minded with proven ability to work collaboratively with others in team environment

• Strong understanding of IT environments, technologies in relation to business needs

• Demonstrate strong ability to work in a team environment and foster cross-team collaboration

• Experience executing technology modernization initiatives including migration to cloud native and API Strategies

• Strong grasp of value creation and business capability models

• Deep experience architecting data and analytics capabilities within a complex multi-national organization that meet requirements for availability, resiliency, stability, scalability, and security.

• Current experience with Azure, APIs, accelerators, DevSecOps, Infrastructure as Code, Containers and Event driven messaging applications (Kafka, MQ)

• Experience in Azure Cloud technologies like ADLS, ADF, Databricks, Synapse Analytics is a huge plus

• Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), and an understanding of data engineering practices

• Experience implementing, developing and integrating Data Management Capabilities (Meta Data, MDM, Reference Data)

• Deep understand on the advanced analytics techniques using ML and AI

• Experience with the MLOps Tools like mlFlow, DVC (data version control) and other MLOps frameworks

• Experience in developing and maintaining CI/CD pipelines for automated deployment of ML models using Azure Devops and databricks webhooks.

• Experience in designing & managing data pipeline using ADF, Databricks and delta lake to ensure reliable data flow for model training and scheduling automated retraining.

• Experience in implementing model monitoring solution to track ML performance, detect data drift and setting up alerts for proactive maintenance and troubleshooting.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work

• Healthcare including dental, vision, mental health, and well-being programs.

• Financial well-being programs such as 401(k) and Employee Share Ownership Plan

• Paid time off and paid holidays

• Paid parental leave.

• Family building benefits like adoption assistance, surrogacy, and cryopreservation

• Social well-being benefits like subsidized back-up child/elder care and tutoring

• Mentoring, coaching, and learning programs.

• Employee Resource Groups.

• Disaster Relief.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 57201

Posted on: Aug 27, 2024

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Software Engineering

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.