About careerzynith
careerzynith is a global leader in cloud‑based technology, empowering organizations across every industry to innovate, scale, and thrive. With a portfolio that spans infrastructure, data analytics, artificial intelligence, and specialized hardware, careerzynith delivers secure, reliable, and highly performant solutions that power the digital transformation of businesses worldwide. Our mission is to democratize cutting‑edge technology, making it accessible to developers, enterprises, educational institutions, and government agencies alike. As part of the careerzynith Cloud Platform, you will join a vibrant ecosystem that values curiosity, collaboration, and continuous learning.
Why This Role Matters
In today’s fast‑moving market, customers in the Healthcare & Life Sciences (HCLS) sector face unique challenges: massive data volumes, stringent regulatory requirements, and the need for rapid, accurate insights. As a Customer Engineer – AI/ML, you will be the technical bridge between careerzynith’s advanced cloud services and the strategic goals of our HCLS clients. You will help them unlock the power of machine learning, design scalable architectures, and adopt careerzynith’s specialized AI hardware, ensuring they stay ahead of the competition while delivering better outcomes for patients and researchers.
Key Responsibilities
- Strategic Opportunity Identification: Partner with Technical Sales teams to uncover and qualify high‑impact business opportunities, translating customer pain points into technical solutions.
- Technical Advisory & Thought Leadership: Serve as the go‑to AI/ML subject matter expert for HCLS customers, delivering product briefings, proof‑of‑concept (PoC) demonstrations, and architecture workshops.
- Solution Design & Prototyping: Collaborate with customers to design, prototype, and validate end‑to‑end machine‑learning pipelines on careerzynith Cloud, leveraging services such as BigQuery, Vertex AI, and careerzynith’s Tensor Processing Unit (TPU) hardware.
- Roadblock Resolution: Anticipate and address technical objections, providing clear, data‑driven recommendations that remove adoption barriers.
- Product Feedback Loop: Work closely with careerzynith product management and engineering teams to relay customer insights, influencing roadmap priorities and feature enhancements.
- Integration & Architecture Guidance: Recommend best‑practice integration strategies, enterprise‑grade architectures, and security frameworks tailored to the regulatory landscape of HCLS.
- Travel & Advocacy: Represent careerzynith at customer sites, industry conferences, and internal events, championing the value of AI/ML in healthcare and life sciences.
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, or 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 model deployment pipelines.
- Experience architecting scalable, distributed systems on cloud platforms, with a focus on performance, reliability, and cost optimization.
- Deep understanding of data governance, data‑lake design, and big‑data trends (e.g., data‑mesh, real‑time analytics) within regulated industries.
- Rapid learning aptitude for emerging technologies, cloud‑native methodologies, and evolving AI/ML best practices.
Core Skills & Competencies
- Technical Acumen: Mastery of cloud infrastructure (compute, storage, networking), container orchestration (Kubernetes), and serverless services.
- AI/ML Expertise: Ability to design, train, and optimize models, understand hyper‑parameter tuning, and evaluate model performance metrics.
- Communication: Exceptional storytelling ability to translate complex technical concepts into clear business value for diverse audiences.
- Problem‑Solving: Analytical mindset to diagnose performance bottlenecks, security concerns, and integration challenges.
- Collaboration: Strong teamwork skills, comfortable working across sales, product, engineering, and customer success teams.
- Regulatory Insight: Familiarity with HIPAA, GDPR, and other compliance frameworks relevant to HCLS data.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior AI/ML architects and industry veterans.
- Sponsored certifications (e.g., careerzynith Cloud Certified – Professional Data Engineer, TensorFlow Developer Certificate).
- Internal hackathons and innovation labs focused on healthcare AI breakthroughs.
- Opportunities to publish case studies, speak at conferences, and contribute to open‑source projects.
- A clear promotion pathway from Senior Customer Engineer to Principal Solutions Architect, Technical Lead, or Product Management roles.
Work Environment & Culture at careerzynith
careerzynith embraces a hybrid work model that blends remote flexibility with collaborative in‑office experiences. Our offices in Chicago, Atlanta, Charlotte, Irvine, New York, Seattle, and Salt Lake City are designed for open dialogue, brainstorming sessions, and hands‑on labs. The company culture is built on:
- Inclusivity: A diverse workforce where every voice is heard and respected.
- Innovation: A “fail fast, learn faster” mindset that encourages experimentation.
- Customer‑Centricity: A relentless focus on delivering measurable outcomes for our clients.
- Well‑Being: Comprehensive health plans, mental‑health resources, flexible PTO, and wellness stipends.
- Community Impact: Volunteer programs and partnerships that support health equity and scientific research.
Compensation, Perks & Benefits
careerzynith offers a competitive total‑reward package that includes:
- A base salary range of $139,000 – $213,000, calibrated for experience, location, and performance.
- Annual performance bonuses tied to individual and company goals.
- Equity grants that align your success with careerzynith’s long‑term growth.
- Full‑coverage medical, dental, and vision plans, plus flexible spending accounts.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and sabbatical options.
- Professional development budget, tuition reimbursement, and access to a global learning portal.
- Employee assistance programs, on‑site fitness centers, and catered meals at select locations.
Equal Opportunity & Inclusion
careerzynith is proud to be an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where every employee can thrive, regardless of 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 throughout the hiring process.
How to Apply
If you are passionate about shaping the future of AI/ML in healthcare and life sciences, and you thrive in a fast‑paced, customer‑focused environment, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.
Apply Job!
Join careerzynith and Transform Tomorrow
At careerzynith, your expertise will directly influence how leading HCLS organizations harness the power of machine learning to improve patient outcomes, accelerate drug discovery, and drive operational excellence. Become part of a team that values curiosity, impact, and continuous growth. Apply today and help us build the next generation of intelligent, cloud‑native solutions.