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Principal AI, ML Engineer

Connvertex Technologies Inc.San Francisco, CA, United States

9 days ago

Job type

Full-time

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Job description

Client Name : Akkodis

End Client Name : WEX

Job Title : Principal AI / ML Engineer

Location : Portland, ME; Boston, MA; Chicago, IL; San Francisco, CA (Locals only 20-40miles)

Work Type : Hybrid (1 3 days onsite per week)

Job Type : Contract (12 18 months+)

Rate : $95 / hour on 1099

Notes :

Citizen Only

Must have :

Have 15-20 years of software design and development experience at a large scale.

Lead and drive the development of technology and platform for the company's AI / ML engineering needs, ensure the functional richness, reliability, performance, and flexibility of this platform

Help design the architecture and lead the implementation of the AI / ML infrastructure, platform and services

Good experience in building machine learning supervised and unsupervised models.

Experience in using LLM models

Java & Python

LinkedIn Page

Excellent communication

Job Description :

WEX is seeking a Principal AI / ML Engineer with 15 20 years of large-scale software design and development experience.

Responsibilities :

Lead and drive the development of technology and platform for the company's AI / ML engineering needs, ensure the functional richness, reliability, performance, and flexibility of this platform

Help design the architecture and lead the implementation of the AI / ML infrastructure, platform and services.

Challenge the status quo and hold a high bar to drive for better and better technical solutions to effectively serve all the needs in the broad risk area of our org.

Guide your team to leverage data and / or AI technology or tools in your design and development for high productivity and better solution quality. Show strong thought leadership and influence your peers in this area.

Closely partner with the other senior engineers across the organizations the organization to deeply understand the business needs and jointly come up with technical solutions to serve these needs effectively. Demonstrate strong thought leadership and partnership.

Partner closely with information security teams to ensure the security and privacy of data, implementing encryption and access controls as required.

Partner with solutions architecture and LOB product and engineering orgs on integrations of the AI / ML Platform with their products / systems, and ensure reliable and performed execution.

Engage with external partners and vendors to evaluate technologies and services that complement the company's AI / ML strategy.

Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.

Report on the status of development, quality, operations, and system performance to management and partners.

Drive the technical vision and strategy of AI / ML infrastructure to serve the business needs for the near term and long term. A close partnership with the Data Science and ML Engineering teams and the operational reporting teams of applications

Set a high bar, and provide technical guidance and effective training & mentorship to the engineering teams in your group, including engineering principles, skills, and best practices. Uphold strong DORA metrics across the org. Foster an environment of continuous learning and innovation. Build an inclusive, productive, innovative, and engaging Risk group, including attracting high talents from the industry.

Guide the leaders in your group to do the same.

Set clear, measurable quality goals for your group in a data-driven way

Partner with the security org and SRE org to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.

Take strong financial responsibility for your team.

Hold yourself and your team accountable for delivering quality results using defined OKRs.

Advise Senior Leadership team on highly complex situations that impact our organization and then lead teams through the initiative, driving excellent quality results and achieving defined OKRs across the organization.

Provide strategic thought leadership on business initiatives using your deep technical and business industry expertise.

Qualifications & Experience :

A technically deep and innovative Software Engineer leader able to act and deliver to the business needs.

Have 15-20 years of software design and development experience at a large scale.

Strong software development skills in his or her chosen programming language, but ready and willing to learn and program in Java and Python.

Good experience in building machine learning supervised and unsupervised models. Experience in Reinforcement Learning is a plus.

Experience in using LLM models a plus

Broad understanding of distributed computing frameworks like Ray and Spark

Demonstrable experience in Kubernetes and Terraform

Experience with Sagemaker a plus

Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, Lambda functions. Experience in AWS and Azure is highly desirable.

Deep technically; hands-on in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks; holding strong engineering principles including automation and quality as well as best practices with a high bar. Extensive experience in full software development life cycle E2E including in production monitoring.

Rich experience and deep expertise in the areas of Big Data and large scale data platforms, especially in AI and ML.

Highly experienced and deep understanding of CI / CD automation.

Rich experience in combined engineering practice and agile development. Experienced in leading and guiding teams for effective development using this approach.

Excellent analytical skills; Capability in identifying and resolving complex problems.

An understanding of and experience in payment organizations is a plus.

A mentor to individual contributors of different seniority levels and expertise.

Ability to encourage and foster a culture of visibility and transparency across teams

Strong written and verbal communication skills

Strong philosophy of continuous improvement

Bachelor degree in Computer Science or a related field. A higher degree in a related field is a plus.

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