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Platform Engineer, ML/AI

 

We are currently recruiting for a Platform Engineer for a leading Financial Services/Insurance client based in New York. They are a Fortune 500 client with a large office in the Heart of New York City.

They are currently looking for a platform engineer to work with ML Engineers, Data Science, and technical teams on a range of platforms. You will be responsible for systems, architecture, and supporting various environments to build features and solutions.

 

You as the ideal candidate will be responsible for:

  • Guidance and strategy for building, architecting of various platforms and environments
  • Working with various internal stakeholders to improve platforms
  • Supporting ML Engineers and Data Scientists across applications and platforms
  • Resolving and fixing issues across platforms

 

You as the ideal candidate will require:

  • Experience working in data and engineering environments
  • Experience with Python
  • Experience in a Linux environment
  • Experience in cloud – AWS

 

This is an excellent opportunity for a strong and ambitious Platform Engineer to join a well-established company and build a successful career.

 

If you are interested, please apply or send a resume to kieran@alldus.com

Company Overview:

  • Fortune 500 company
  • Involved in Banking, Wealth Management, Financial Consultations, Insurance etc.
  • Large office located in the heart of New York City

Job Summary
  • Play a key role in driving Strategic Capabilities projects from conceptualization through completion. 
  • Lead project facilitation across the Strategic Capabilities project portfolio of work
  • Use Waterfall, and Agile/Scrum project management methods and tools

Responsibilities
  • Lead the delivery of multiple strategic initiatives
  • Partners with the business in the project ideation phase
  • Contribute to the design and solution
  • Create roadmaps for programs/projects
  • Define project roles/responsibilities
  • Establishes workstreams
  • Lead meetings/manages deliverables
  • Define and manage time, quality, risk, and quality parameters for projects
  • Document costs/benefits of potential options
  • Establishes timelines and ensure commitments of deliverables
  • Manages and collaborate with the project core team
  • Partners closely with the business project lead and Technology Project Manager
  • Ensures project status is proactively communicated to all key stakeholders
  • Support and manage ad hoc project requests
  • Define and enforce best practices.

Experience Required
  • Bachelor’s degree required
  • Project Management Professional certification
  • Certified Scrum Master certification
  • Agile and Waterfall experience.
  • 5-10 years of relevant experience in Project Management
  • Experience in the Insurance/Finance Industry 
  • Requires in-depth expertise in Project Management 
  • Skilled in project software
  • Knowledge of Agile tools such as JIRA
  • Knowledge of Scaled Agile Frameworks (SAFe)

Company Overview:

  • Fortune 500 company
  • Involved in Banking, Wealth Management, Financial Consultations, Insurance etc.
  • Large office located in the heart of New York City

Job Summary
  • Play a key role in driving Strategic Capabilities projects from conceptualization through completion. 
  • Lead project facilitation across the Strategic Capabilities project portfolio of work
  • Use Waterfall, and Agile/Scrum project management methods and tools

Responsibilities
  • Lead the delivery of multiple strategic initiatives
  • Partners with the business in the project ideation phase
  • Contribute to the design and solution
  • Create roadmaps for programs/projects
  • Define project roles/responsibilities
  • Establishes workstreams
  • Lead meetings/manages deliverables
  • Define and manage time, quality, risk, and quality parameters for projects
  • Document costs/benefits of potential options
  • Establishes timelines and ensure commitments of deliverables
  • Manages and collaborate with the project core team
  • Partners closely with the business project lead and Technology Project Manager
  • Ensures project status is proactively communicated to all key stakeholders
  • Support and manage ad hoc project requests
  • Define and enforce best practices.

Experience Required
  • Bachelor’s degree required
  • Project Management Professional certification
  • Certified Scrum Master certification
  • Agile and Waterfall experience.
  • 5-10 years of relevant experience in Project Management
  • Experience in the Insurance/Finance Industry 
  • Requires in-depth expertise in Project Management 
  • Skilled in project software
  • Knowledge of Agile tools such as JIRA
  • Knowledge of Scaled Agile Frameworks (SAFe)

Company Overview:

  • Fortune 500 company
  • Involved in Banking, Wealth Management, Credit, Loans, Mortgages, Insurance, etc.
  • Large office located in the heart of New York City

 

Role Overview:

  • Work with data ranging from demographics, credit, and geo data to detailed medical data
  • Chance to drive the transformation of an industry
  • Build a team of Data and ML engineers
  • Research, build, and deploy production-grade models
  • Manage, train and coach a team of Engineers
  • Work on advanced analytics projects end to end
  • Work with Data Scientists and business partners
  • Work side by side with the Chief Data Office and Technology Enterprise Data teams
  • Work with our platform management team to deploy models
  • Work with Project Managers and Scrum Masters
  • Shape a collaborative environment for data scientists and engineers to work together successfully

 

Responsibilities:

  • Manage a team of Data Scientists, Data Engineers and Machine Learning Engineers
  • Help lead the hiring of several openings on the team
  • Build/manage a strategy for servicing multiple data science projects in varying states of maturity
  • Make sure the team is delivering data quickly and efficiently
  • Manage code and document production-ready requirements
  • Provide guidance for the architecture of ML development data
  • Create solutions to process a large variety of data sources
  • Oversee the deployment of models into production
  • Monitor and track departmental metrics
  • Address/Resolve any technical issues that may arise
  • Function as a Data Science & Machine Learning expert
  • Contribute to analytics/solutions design and implementation
  • Communicate accordingly with senior-level staff members

 

Required Qualifications:

  • Degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering or a related field
  • 8+ years of work experience in Data Science, Data Engineering, ML Engineering and computer programming
  • Must have experience working in Finance, Banking, Insurance, Credit, Mortage Industry, or similar
  • 5+years of people management experience
  • Must have experience hiring, coaching, promoting, and managing the review process
  • Proficiency in Python and R, and SQL
  • Experience in applying AI/ML technologies, frameworks, and applications
  • Experience creating and deploying ML/AI models in production environments
  • Experience with a variety of ML and AI techniques
  • Solid understanding and experience with statistical modeling concepts, design, and analytics-based products
  • Experience working in AWS, Linux, and Large Scale Computing platforms
  • Experience with microservices, API and event-driven architecture
  • Experience with Kubernetes and ETL tools
  • Exposure to Geospatial (GIS) platforms
  • Any experience working with Data Warehouses

Company Overview:

  • Fortune 500 company
  • Involved in Banking, Wealth Management, Financial Consultations, Life Insurance etc.
  • Large office located in the heart of New York City


Job Summary:

  • Build a lot of predictive modeling solutions
  • Work on Agency and Investments data science products.
  • Good understanding of predictive analytics (including the process of building and deploying models) and technology is essential.

 

Responsibilities

 

  • Lead data analysis and modeling projects 
  • Perform analysis and modeling to final reports/presentations
  • Communicate results to leadership
  • Demonstrate to stakeholders how analytics can be implemented to maximize business benefits.
  • Drive the use of data-based decision making and Analytics 
  • Utilize advanced statistical/AI techniques
  • Create high-performing predictive models 
  • Utilizes scientific approaches 
  • Verify the performance of algorithms and/or predictive models.
  • Works closely with business and technology partners 
  • Management track: potential to manage direct reports.
  • Follows industry trends in insurance
  • Assures compliance with regulatory and privacy requirements

 

Required qualifications

  • Graduate-level degree
  • 5+ years of experience with predictive analytics in financial services or insurance 
  • Experience using Machine Learning/AI in investment/quant settings
  • Basic knowledge in stochastic modeling and derivative pricing
  • Strong verbal and written communications skills
  • Effective presentation skills
  • Proficiency in creating effective and visually appealing PowerPoint presentations
  • Strong expertise in statistical modeling techniques
  • Substantial programming experience
  • Experience with data visualization
Alldus are looking for ServiceNow ITOM Developers and consultants for long term remote contract opportunities.
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  • ServiceNow Administrator certification is desired
  • 5 years of people and client management experience in a consultative environment
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  • Real world work experience with ServiceNow CMDB tables, relationships and CSDM data model.
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