Domain Architect- Analytics and AI/ML, Senior Specialist

Core Obligations

1. Assesses enterprise necessities and the architectural framework of Synthetic Intelligence/Machine Studying options to fulfill enterprise wants, with inside and exterior purchasers and companions.

2. Builds the deployment plan for extremely scalable and safe Synthetic Intelligence platforms, functions, and programs that run in numerous cloud infrastructures and Synthetic Intelligence gadgets efficiently.

3. Applies structure specification and paperwork technical and configuration for all customers (prospects, engineering groups, product groups); resolves Synthetic Intelligence/Machine Studying resolution deployment points.

4. Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Synthetic Intelligence/Machine Studying associated services in particular verticals; staying present on the most recent Synthetic Intelligence/Machine Studying applied sciences and instruments.

5. Applies reasonably advanced machine studying algorithms and applied sciences into organizational practices, equivalent to regression fashions.

6. Analyzes the statistical analyses on enterprise and processes utilizing machine studying strategies to seek out out alternatives for enterprise growth and course of enchancment.

7. Performs the A/B testing duties and initiatives on statistical fashions, machine studying algorithms and programs.

8. Optimizes statistical fashions constantly to realize greatest efficiency of machine studying algorithms.

9. Validates enterprise issues and wishes; ensures acceptable AI applied sciences and instruments are utilized to resolve issues.

10. Pilots AI fashions and prototype functions; evaluates whether or not enterprise challenges are addressed.

11. Performs code evaluations, optimizes algorithms and fashions and conducts experiments to make sure the performance and efficiency of AI merchandise or options.

12. Participates in particular tasks and performs different duties as assigned.

13. Participates in particular tasks and performs different duties as assigned.

{Qualifications}

1. Minimal of eight years associated work expertise, with no less than three years of know-how architect expertise.

2. Undergraduate diploma or equal mixture of coaching and expertise. Graduate diploma most well-liked.

3. Broad data of the monetary companies business and analytics ecosystem.

4. Palms-on expertise in a number of IT platforms, growth instruments and programming language:

• Expertise and experience in merchandise utilizing fashionable analytics cloud-based companies and platforms equivalent to AWS Sagemaker, Glue ETL, EMR, Knowledge Wrangler, Glue Catalog, S3, Python, Tableau, Pyspark, SQL, Attunity and different adjoining instruments used for information exploration equivalent to AWS Athena and Presto.

• Expertise with Steady Integration, Steady Deployment, DevOps, and Infrastructure as code using instruments equivalent to Atlassian Bamboo, Github Actions, AWS Cloud Formation, pytest, Cucumber, Splunk, AWS Cloudwatch and different testing and monitoring instruments.

• Understanding of DDD and information cloth ideas; Expertise implementing instruments like Dremio.

• Expertise architecting ML Growth Platforms (AWS Sagemaker and related companies)

• Expertise architecting ML Ops and Automated controls (Automated mannequin deployment-CI/CD, Automated Mannequin Governance, Mannequin Characteristic Administration)

• Expertise architecting GenAI and LLM mannequin companies and use instances (ChatGPT,Azure OpenAI, Google Bard, AWS Bedrock, CodeWhisperer, GitHub Copilot, and so forth)

5. Skilled data of the next technical lead practices and ideas:

• Full product life cycle

• IT vendor product evaluation

• Structure design patterns

• Big selection of cloud and rising applied sciences inside technical specialty

• Efficiency and stress testing; resiliency and extremely availability

• Safety structure and price optimization strategies

• High quality assurance methodology and Inspections

• Technical requirements and deliverables

• Migration and integration

• Estimating, together with design, growth/buy, and set up

• Manufacturing acceptance (together with elevations), information modeling, information sharing, reusable elements, and associated superior growth practices.

Particular Elements

Sponsorship

Vanguard isn’t providing visa sponsorship for this place.

About Vanguard

We’re Vanguard. Collectively, we’re altering the way in which the world invests.

For us, investing doesn’t simply finish in worth. It begins with values. As a result of if you make investments with braveness, if you make investments with readability, and if you make investments with care, you can get a lot extra in return. We make investments with function – and that’s how we’ve grow to be a worldwide market chief. Right here, we develop by doing the fitting factor for the folks we serve. And so are you able to.

We need to make success accessible to everybody. That is our alternative. Let’s make it depend.

Inclusion Assertion

Vanguard’s continued dedication to variety and inclusion is firmly rooted in our tradition. Each resolution we make to greatest serve our purchasers, crew (internally workers are known as crew), and communities is guided by one easy assertion: “Do the fitting factor.”

We consider {that a} essential facet of doing the fitting factor requires constructing numerous, inclusive, and extremely efficient groups of people who’re as distinctive because the purchasers they serve. We empower our crew to contribute their distinct strengths to reaching Vanguard’s core function by our values.

When all crew members really feel valued and included, our capacity to collaborate and innovate is amplified, and we’re united in delivering on Vanguard’s core function.

Our core function: To take a stand for all buyers, to deal with them pretty, and to present them the very best probability for funding success.

How We Work

Vanguard has carried out a hybrid working mannequin for almost all of our crew members, designed to seize the advantages of enhanced flexibility whereas enabling in-person studying, collaboration, and connection. We consider our mission-driven and extremely collaborative tradition is a essential enabler to help long-term shopper outcomes and enrich the worker expertise.