Machine Learning Engineer – Sr. Consultant level

Visa

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Firm Description

Visa is a world chief in digital funds, facilitating greater than 215 billion funds transactions between customers, retailers, monetary establishments and authorities entities throughout greater than 200 nations and territories annually. Our mission is to attach the world via probably the most modern, handy, dependable and safe funds community, enabling people, companies and economies to thrive.

If you be a part of Visa, you be a part of a tradition of goal and belonging – the place your progress is precedence, your id is embraced, and the work you do issues. We imagine that economies that embrace everybody in every single place, uplift everybody in every single place. Your work can have a direct impression on billions of individuals world wide – serving to unlock monetary entry to allow the way forward for cash motion.

Be part of Visa: A Community Working for Everybody.

Job Description

Funds are a really thrilling and fast-developing space with a number of new and modern concepts coming to market. With sturdy demand for brand spanking new options on this house, it guarantees to be an thrilling space of innovation. VISA is a robust chief within the fee trade and is quickly transitioning right into a know-how firm with vital investments on this space. 

If you wish to be within the thrilling fee house, be taught quick and make huge impacts, Ecosystem & Operational Threat know-how which is a part of Visa’s Worth-Added Companies enterprise unit is a perfect place for you! 

In Ecosystem & Operational Threat group, Fee Fraud Disruption group is liable for constructing essential danger and fraud detection and prevention functions and companies at Visa. This consists of concept era, structure, design, growth, and testing of merchandise, functions, and companies that present Visa shoppers with options to detect, stop, and mitigate fraud for Visa and Visa consumer fee methods. 

This place is right for an skilled ML scientist who’s obsessed with collaborating with enterprise and know-how companions in fixing difficult fraud prevention issues. You’ll be a key driver within the effort to outline the shared strategic imaginative and prescient for the Fee Fraud Disruption platform and defining instruments and companies that safeguard Visa’s fee methods.  

The candidate for this position have to have sturdy ML and Knowledge Science background, with demonstrated expertise in constructing, coaching, implementing and optimized superior AI fashions for funds, danger or fraud prevention merchandise that created enterprise worth and delivered impression inside the funds or funds danger area or have expertise constructing AI/ML options for related industries.  

To achieve success on this position, the candidate should be a technical chief with the power to interact in excessive bandwidth conversations with enterprise and know-how companions and be capable to suppose broadly about Visa’s enterprise and drive options that may improve the protection and integrity of Visa’s fee ecosystem. The candidate will assist ship modern insights to Visa’s strategic merchandise and enterprise. This position represents an thrilling alternative to make key contributions to strategic providing for Visa. This candidate must have sturdy tutorial observe file and be capable to reveal wonderful software program engineering expertise. The candidate can be a self-starter comfy with ambiguity, with sturdy consideration to element, and wonderful collaboration expertise. 

The perfect candidate will convey the joy and fervour to leverage Generate AI to advance current fraud detection mechanisms and to innovate and remedy new fraud use circumstances. This engineer will use code era capabilities like GitHub copilot to drive efficiencies in software program growth. 

Important Capabilities 

  • As a ML Scientist – Sr. Marketing consultant you’ll assist design, improve, and construct subsequent era fraud detection options in an agile growth setting. 

  • Formulate enterprise issues as technical knowledge issues whereas guaranteeing key enterprise drivers are captured in collaboration with product stakeholders.  

  • Work with software program engineers to make sure feasibility of options. Ship prototypes and manufacturing code based mostly on want. 

  • Experiment with in-house and third-party knowledge units to check hypotheses on relevance and worth of knowledge to enterprise issues. 

  • Construct wanted knowledge transformations on structured and un-structured knowledge. 

  • Construct and experiment with modeling and scoring algorithms. This consists of growth of customized algorithms in addition to use of packaged instruments based mostly on machine studying, knowledge mining and statistical strategies. 

  • Devise and implement strategies for adaptive studying with controls on effectiveness, strategies for explaining mannequin choices the place needed, mannequin validation, A/B testing of fashions. 

  • Devise and implement strategies for effectively monitoring mannequin effectiveness and efficiency in manufacturing. 

  • Devise and implement strategies for automation of all elements of the predictive pipeline to reduce labor in growth and manufacturing. 

  • Contribute to growth and adoption of shared predictive analytics infrastructure.  

  • Mentor and prepare different ML scientists on the group on key options 

  • Capable of work on a number of initiatives and initiatives with completely different/competing timelines and calls for. 

  • Current technical options, capabilities, concerns, and options in enterprise phrases. Successfully talk standing, points, and dangers in a exact and well timed method 

  • Collaborate throughout engineering groups and leaders in Ecosystem& Operational Threat, Visa Analysis, AI Platform, Operations, and Infrastructure (O&I), safety and platform groups. 

It is a hybrid place. Hybrid workers can alternate time between each distant and workplace. Staff in hybrid roles are anticipated to work from the workplace 2-3 set days per week (decided by management/web site), with a normal guidepost of being within the workplace 50% or extra of the time based mostly on enterprise wants.

{Qualifications}

Fundamental {Qualifications}:

  • 8+ years of related work expertise with a Bachelor’s Diploma or no less than 5 years of expertise with an Superior Diploma (e.g. Masters, MBA, JD, MD) or 2 years of labor expertise with a PhD, OR 11+ years of related work expertise.

Most well-liked {Qualifications}:

  • 9 or extra years of related work expertise with a Bachelor Diploma or 7 or extra related years of expertise with an Superior Diploma (e.g. Masters, MBA, JD, MD) or 3 or extra years of expertise with a PhD in Pc Science or associated discipline 
  • Skilled in modern areas akin to Machine Studying, Deep Studying, Stream Computing and MLOps
  • Excessive degree of competence in Python, Perl, Java, Scala, and/or Unix/Linux scripts  extremely most well-liked
  • In depth expertise with SAS/SQL/Hive for extracting and aggregating dat
  • Expertise with Large Knowledge and analytics leveraging applied sciences like Hadoop, Spark, Scala, and MapReduce
  • Deep studying expertise working with TensorFlow and Pure Language Processing expertise are extremely most well-liked.
  • Expertise with a number of widespread statistical instruments such SAS, R, KNIME, Matlab
  • Expertise in creating massive scale, enterprise class distributed methods of excessive availability, low latency, & sturdy knowledge consistency
  • Expertise in architecting options with Steady Integration and Steady Supply in thoughts
  • Familiarity with in distributed in-memory computing applied sciences

Extra Info

Work Hours: Varies upon the wants of the division.

Journey Necessities: This place requires journey 5-10% of the time.

Psychological/Bodily Necessities: This place can be carried out in an workplace setting.  The place would require the incumbent to sit down and stand at a desk, talk in individual and by phone, ceaselessly function commonplace workplace tools, akin to telephones and computer systems.

Visa is an EEO Employer.  Certified candidates will obtain consideration for employment with out regard to race, shade, faith, intercourse, nationwide origin, sexual orientation, gender id, incapacity or protected veteran standing.  Visa may also think about for employment certified candidates with prison histories in a way in keeping with EEOC pointers and relevant native legislation.

Visa will think about for employment certified candidates with prison histories in a way in keeping with relevant native legislation, together with the necessities of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary vary for a brand new rent into this place is 145,400.00 to 189,000.00 USD per 12 months, which can embrace potential gross sales incentive funds (if relevant). Wage might fluctuate relying on job-related elements which can embrace information, expertise, expertise, and placement. As well as, this place could also be eligible for bonus and fairness. Visa has a complete advantages package deal for which this place could also be eligible that features Medical, Dental, Imaginative and prescient, 401 (okay), FSA/HSA, Life Insurance coverage, Paid Time Off, and Wellness Program.

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