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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

• 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

• 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.

• 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

• 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

• 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.

• 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