Mobile UI (IOS) Consultant

MACHINE LEARNING TECHNOLOGIES LLC; Richmond (VA); On-site; USD 82,656 - 165,312; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Richmond, Virginia is seeking a Mobile UI (iOS) Consultant to deliver high-quality iOS client solutions aligned with product strategy. You will collaborate across engineering, UX/UI, QA, and product to create engaging user experiences on Swift-based apps.

The ideal candidate has at least 7 years in software engineering, 5+ years building iOS apps, and strong Swift expertise, with a track record mentoring others and participating in agile ceremonies.

Qualifications

• Bachelor’s degree in software engineering or a related field.
• 7+ years of experience in software engineering (Internship experience does not apply).
• 5+ years of experience building iOS applications.
• 5+ years of experience with Swift.

Responsibilities

• Develop iOS client code solutions that deliver on Product Strategy and adhere to established engineering best practices, design guidelines and principles.
• Partner with Software Engineers, UX/UI, Quality Engineers, Product Owners/Analysts to deliver high performing quality customer experiences that are engaging, purposeful and powerful in their simplicity.
• Actively participate in all team agile ceremonies, contributing to ensure that all team commitments are delivered on time and of the highest quality.
• Be an active advocate of the mobile platform through both internal and external developer communities.
• Remain an active learner in all technologies related to mobile development (Swift, Kotlin, 3rd party libraries, etc.).
• Mentor junior to mid-level members of the team.

Skills

Swift

iOS

Agile

Mentoring

Open-source

Education

Bachelor's Degree

Master's Degree

Job description

Job Overview

Job ID: J52058
Job Title: Mobile UI (iOS) Consultant
Location: Richmond, VA
Duration: 10 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C

What You’ll Do

• Develop iOS client code solutions that deliver on Product Strategy and adhere to established engineering best practices, design guidelines and principles.
• Partner with Software Engineers, UX/UI, Quality Engineers, Product Owners/Analysts to deliver high performing quality customer experiences that are engaging, purposeful and powerful in their simplicity.
• Actively participate in all team agile ceremonies, contributing to ensure that all team commitments are delivered on time and of the highest quality.
• Be an active advocate of the mobile platform through both internal and external developer communities.
• Remain an active learner in all technologies related to mobile development (Swift, Kotlin, 3rd party libraries, etc.).
• Influence and contribute to group discussions and incorporate feedback/communication from the broader team.
• Mentor junior to mid-level members of the team.
• Actively engage with developers outside of the local sprint team across various disciplines (Android, iOS, APIs, Web, etc.).
• Own and lead delivery of major components and platform needs in partnership with senior engineers and Architects.
• Consistently share best practices and improve processes within and across sprint teams.
• Identify technical obstacles early and work closely with the team to find creative solutions.
• Review pull requests and ensure adherence to Swift and other language idioms.

Basic Qualifications

• Bachelor’s Degree
• At least 7 years of experience in software engineering (Internship experience does not apply)
• At least 5 years of experience building iOS applications
• At least 5 years of experience with Swift

Preferred Qualifications

• Master’s Degree
• 5+ years of experience building iOS applications
• 4+ years of experience with Swift
• 4+ years of experience in open-source frameworks
• 2+ years of experience with Agile practices

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.