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About careerzynith – Pioneering the Future of Cloud‑Enabled AI
At careerzynith, we believe that the most powerful innovations happen when cutting‑edge technology meets real‑world challenges. Our Cloud Platform empowers organizations of every size—from nimble startups to global enterprises—to transform data into insight, automate decision‑making, and deliver experiences that were once thought impossible. With a relentless focus on security, reliability, and scalability, careerzynith delivers a full‑stack ecosystem that spans infrastructure, data services, AI/ML frameworks, and specialized hardware. As a leader in the industry, we serve customers across more than 200 countries, helping them accelerate digital transformation, drive sustainable growth, and solve their most critical business problems.
Why This Role Matters
The Customer Engineer, AI/ML, HCLS position sits at the intersection of technical expertise, strategic consulting, and sales enablement. In this role you will partner with Technical Sales teams to showcase careerzynith’s AI/ML capabilities to prospective customers in the Healthcare & Life Sciences (HCLS) sector. You will translate complex technical concepts into clear business value, design robust cloud architectures, and guide customers through proof‑of‑concept (PoC) implementations that demonstrate the power of careerzynith’s machine‑learning solutions—including our industry‑leading careerzynith Tensor Processing Unit (TPU) hardware.
Key Responsibilities
- Opportunity Qualification: Collaborate with sales and solution teams to identify high‑impact business opportunities, uncover technical objections, and craft tailored strategies that remove barriers to adoption.
- Subject‑Matter Expertise: Serve as the go‑to AI/ML authority for HCLS customers, delivering product briefings, technical deep‑dives, and solution demos that highlight careerzynith’s differentiated capabilities.
- Proof‑of‑Concept Leadership: Design, build, and execute PoCs that showcase end‑to‑end machine‑learning pipelines— from data ingestion and preprocessing to model training, evaluation, and deployment on careerzynith Cloud.
- Architecture Design: Recommend integration strategies, enterprise‑grade architectures, and best‑practice deployment patterns that align with customers’ regulatory, security, and performance requirements.
- Cross‑Functional Collaboration: Partner closely with Product Management, Engineering, and the careerzynith TPU team to prioritize feature enhancements and influence the roadmap based on real‑world customer feedback.
- Customer Advocacy: Act as a trusted advisor, helping customers navigate complex technical challenges, optimize cost structures, and adopt responsible AI practices.
- Travel & Thought Leadership: Represent careerzynith at customer sites, industry conferences, webinars, and internal knowledge‑sharing sessions to amplify our AI/ML narrative.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
- At least 10 years of experience as a pre‑sales engineer, solutions architect, or a comparable customer‑facing technical role within an enterprise‑technology environment.
- Proven ability to engage and present to both technical stakeholders (e.g., data scientists, architects) and executive leadership (e.g., CIOs, VPs).
- Hands‑on experience with big‑data ecosystems, machine‑learning frameworks (such as TensorFlow, PyTorch, scikit‑learn), and numerical programming languages (Python, MATLAB, R).
Preferred Qualifications
- Master’s degree in Computer Science, Data Science, or a related field.
- Demonstrated track record of building production‑grade machine‑learning solutions, including deep‑learning architectures (CNNs, RNNs, LSTMs) and custom model pipelines.
- Experience architecting scalable, distributed systems on cloud platforms, with a focus on performance, fault tolerance, and cost efficiency.
- Deep understanding of data governance, data‑lake design, and big‑data trends (e.g., data‑mesh, real‑time analytics) as they apply to regulated industries like healthcare.
- Rapid learning agility—ability to master emerging technologies, cloud‑native services, and evolving AI methodologies.
Core Skills & Competencies
- Technical Acumen: Mastery of cloud infrastructure (compute, storage, networking), container orchestration (Kubernetes), and serverless offerings.
- AI/ML Expertise: Proficiency in model development, hyperparameter tuning, model interpretability, and deployment pipelines (CI/CD for ML).
- Communication: Exceptional ability to translate technical concepts into business outcomes, craft compelling presentations, and influence decision‑makers.
- Problem‑Solving: Strong analytical mindset to diagnose complex system interactions, propose innovative solutions, and iterate quickly.
- Collaboration: Comfortable working in cross‑functional teams, building consensus, and driving initiatives forward in a fast‑paced environment.
- Customer‑Centricity: A genuine passion for helping customers succeed, with a focus on empathy, active listening, and long‑term partnership.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its people. As a Customer Engineer you will have access to:
- Dedicated mentorship from senior AI/ML architects and industry veterans.
- Annual technical conferences, workshops, and certification programs (e.g., careerzynith Cloud Certified – Machine Learning Engineer).
- Opportunities to contribute to product roadmaps, influence feature prioritization, and publish thought‑leadership pieces.
- A clear promotion pathway—from Individual Contributor to Senior Engineer, Principal Engineer, and eventually Technical Leadership roles.
- Cross‑regional project assignments that broaden exposure to diverse markets, regulatory environments, and use‑case scenarios.
Work Environment & Culture at careerzynith
Our culture blends the agility of a startup with the stability of an industry leader. We champion:
- Hybrid Flexibility: Choose to work from one of our vibrant office hubs (Chicago, IL; Atlanta, GA; Charlotte, NC; Irvine, CA; New York, NY; Seattle, WA; Salt Lake City, UT) or remotely from anywhere in the United States.
- Inclusive Collaboration: Diverse teams that value every voice, encouraging open dialogue, idea sharing, and respectful debate.
- Innovation Time: Dedicated “Innovation Hours” each month for you to explore emerging technologies, prototype new solutions, or pursue personal projects.
- Well‑Being Programs: Comprehensive health plans, mental‑health resources, flexible PTO, and wellness stipends.
- Community Impact: Volunteer initiatives and partnerships that leverage careerzynith’s technology to advance public‑health research and education.
Compensation, Perks & Benefits
careerzynith offers a competitive total‑reward package that reflects the expertise you bring to the role. While exact figures vary by location and experience, the base salary range for this position is $139,000 – $213,000, complemented by performance‑based bonuses, equity grants, and a comprehensive benefits suite that includes:
- Medical, dental, and vision coverage for you and your dependents.
- 401(k) matching and financial planning resources.
- Generous paid parental leave and family‑care assistance.
- Professional development budget and tuition reimbursement.
- Employee stock purchase plan (ESPP) and long‑term incentive awards.
- Access to cutting‑edge hardware (including careerzynith TPUs) for personal experimentation.
- Global employee resource groups (ERGs) that foster community and belonging.
Application Process & Next Steps
The application window remains open until at least March 12, 2024, and may extend based on business needs. To apply, simply click the link below, submit your resume, and indicate your preferred work location (office hub or remote within the United States). Our recruiting team will review your profile, schedule an initial conversation, and guide you through a multi‑stage interview process that includes technical assessments, scenario‑based problem solving, and cultural fit discussions.
Commitment to Equality & Inclusion
careerzynith is an equal‑opportunity employer. We celebrate diversity and are committed to building a workforce that reflects the communities we serve. All qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other characteristic protected by law. Accommodations are available for candidates with disabilities; please let us know your needs during the application process.
Ready to Shape the Future of AI in Healthcare?
If you are passionate about leveraging AI/ML to solve real‑world challenges, thrive in a collaborative, fast‑moving environment, and want to work with the most advanced cloud and hardware platforms, we want to hear from you. Join careerzynith and become a catalyst for transformation across the Healthcare & Life Sciences ecosystem.
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