Experienced Full Stack Customer Engineer – AI/ML, Healthcare and Life Sciences at careerzynith
About careerzynith
At careerzynith, we're passionate about harnessing the power of technology to transform businesses and industries. Our team is dedicated to helping customers unlock the full potential of our cutting-edge solutions, and we're looking for a talented Customer Engineer to join our ranks. As a Customer Engineer, you'll play a key role in understanding the needs of our customers and helping shape the future of businesses of all sizes.
About the Role
We're seeking an experienced Customer Engineer with a strong background in AI/ML, Healthcare and Life Sciences to join our team. As a Customer Engineer, you'll work closely with Technical Sales teams to differentiate careerzynith to our customers. You'll help prospective customers and partners understand the power of our solutions, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks.
Responsibilities
As a Customer Engineer, you'll be responsible for:
Working with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Providing machine learning expertise to support the technical relationship with careerzynith's customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to careerzynith.
Working with customers to demonstrate and prototype careerzynith product integrations in customer/partner environments.
Recommending integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on careerzynith.
Traveling to customer sites, conferences, and other related events as needed.
Requirements
To be successful in this role, you'll need:
A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience as a pre-sales engineer at an enterprise technology company or a similar customer-facing role.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
Preferred Qualifications
While not required, we're looking for candidates with:
A Master's degree in Computer Science, or a related technical field.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
What We Offer
As a Customer Engineer at careerzynith, you'll enjoy:
A competitive salary range of $139,000-$213,000 + bonus + equity + benefits.
The opportunity to work with a talented team of professionals who are passionate about technology and customer success.
A dynamic and fast-paced work environment that's always challenging and rewarding.
The chance to work on cutting-edge projects and technologies that are shaping the future of businesses and industries.
A comprehensive benefits package that includes health insurance, retirement savings, and paid time off.
How to Apply
If you're a motivated and experienced Customer Engineer with a passion for AI/ML, Healthcare and Life Sciences, we want to hear from you! Please click the link below to apply for this exciting opportunity.
Apply To This Job
About careerzynith's Commitment to Diversity and Inclusion
careerzynith is an equal opportunity employer and is committed to diversity and inclusion in the workplace. We welcome applications from qualified candidates of all backgrounds and perspectives. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Apply for this job
At careerzynith, we're passionate about harnessing the power of technology to transform businesses and industries. Our team is dedicated to helping customers unlock the full potential of our cutting-edge solutions, and we're looking for a talented Customer Engineer to join our ranks. As a Customer Engineer, you'll play a key role in understanding the needs of our customers and helping shape the future of businesses of all sizes.
About the Role
We're seeking an experienced Customer Engineer with a strong background in AI/ML, Healthcare and Life Sciences to join our team. As a Customer Engineer, you'll work closely with Technical Sales teams to differentiate careerzynith to our customers. You'll help prospective customers and partners understand the power of our solutions, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks.
Responsibilities
As a Customer Engineer, you'll be responsible for:
Working with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Providing machine learning expertise to support the technical relationship with careerzynith's customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to careerzynith.
Working with customers to demonstrate and prototype careerzynith product integrations in customer/partner environments.
Recommending integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on careerzynith.
Traveling to customer sites, conferences, and other related events as needed.
Requirements
To be successful in this role, you'll need:
A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience as a pre-sales engineer at an enterprise technology company or a similar customer-facing role.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
Preferred Qualifications
While not required, we're looking for candidates with:
A Master's degree in Computer Science, or a related technical field.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
What We Offer
As a Customer Engineer at careerzynith, you'll enjoy:
A competitive salary range of $139,000-$213,000 + bonus + equity + benefits.
The opportunity to work with a talented team of professionals who are passionate about technology and customer success.
A dynamic and fast-paced work environment that's always challenging and rewarding.
The chance to work on cutting-edge projects and technologies that are shaping the future of businesses and industries.
A comprehensive benefits package that includes health insurance, retirement savings, and paid time off.
How to Apply
If you're a motivated and experienced Customer Engineer with a passion for AI/ML, Healthcare and Life Sciences, we want to hear from you! Please click the link below to apply for this exciting opportunity.
Apply To This Job
About careerzynith's Commitment to Diversity and Inclusion
careerzynith is an equal opportunity employer and is committed to diversity and inclusion in the workplace. We welcome applications from qualified candidates of all backgrounds and perspectives. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Apply for this job