Inclusively is partnering with a multinational professional services network to hire a Manager, Quality Assurance Engineer AI/ML. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

Work you’ll do:

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
• Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
• Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Effective Communication and Influence: Capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
• Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

The successful candidate will have and/or be able to:

The ideal candidate will have a strong background in quality assurance, test automation, and a deep understanding of how AI/ML can modernize the quality engineering processes. This role will be pivotal in enhancing our testing frameworks and ensuring the highest quality standards for our products.

• Understanding of methodologies and tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• Understanding and extensive experience in working with various forms of big data to generate synthetic data for testing purposes.
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required:

• Bachelor's degree in computer science, software engineering, or related field.
• 6+ years of engineering experience focused in AI/ML
• 3+ years of experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.
• 2+ years of recent experience in GenAI utilizing technologies such as: OpenAI, Claude, Gemini, LangChain, Agents, Vector databases and approaches like Prompt Engineering, fine-tuning, etc.
• 3+ years of experience in quality assurance and automation-first techniques such as BDD, as well as test automation tools like, TOSCA, Selenium, Gherkin, Functionize, Testim, and AccelQ.
• Limited immigration sponsorship may be available
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

• 8+ years of engineering experience focused in AI/ML
• Prior experience in working with various forms of big data to generate synthetic data for testing purposes.
• Prior experience with cloud hyper-scalers like Azure, AWS, and GCP.
• Advanced degree (e.g., MS) in computer science, software engineering, or related field.

Salary: $124600 – $255900.