IOS Consultant

MACHINE LEARNING TECHNOLOGIES LLC; Richmond (VA); On-site; USD 83,000 - 165,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced IOS Consultant in Richmond, VA. This role focuses on delivering robust iOS client solutions aligned with product strategy and engineering best practices.

You will work with cross-functional teams, participate in agile ceremonies, mentor peers, and contribute to the mobile platform across multiple disciplines. Positions support W-2, 1099, and C2C employment arrangements.

Qualifications

• Bachelor’s Degree required.
• 7+ years of experience in software engineering.
• 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 engineering best practices.
• Partner with Software Engineers, UX/UI, Quality Engineers, Product Owners/Analysts to deliver high quality customer experiences.
• Participate in all team agile ceremonies to ensure commitments are delivered on time and with high quality.
• Actively advocate the mobile platform in internal and external developer communities.
• Stay active learner in technologies related to mobile development (Swift, Kotlin, etc.).
• Mentor junior to mid-level team members and collaborate across disciplines.
• Lead delivery of major components and platform needs with senior engineers and architects.
• Share best practices and improve processes across sprint teams.

Skills

Swift

iOS development

Software engineering

Agile practices

Education

Bachelor's Degree

Master's Degree

Job description

Job Description

Job Overview

• Job ID: J52284
• Job Title: IOS Consultant
• Location: Richmond, VA
• Duration: 15 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

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