While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role: Technical Architect - Machine Learning
Experience Level: 8 Years or Above
Work location: Mumbai, Bangalore & Trivandrum
You will be working as a Architect Machine Learning within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.
Role & Responsibilities:
Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.
Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
Building deep relationships with clients by understanding their stated but more importantly, latent needs.
Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.Researching and identifying sales opportunity, generating leads, target identification and classification
Serve as a mentor or guide for senior resources / team leads.
Lead the technical discussion regarding architecture designing and troubleshooting with the clients and provide solutions proactively as required. Fluent in communication
Must have skills:
8+ years’ experience of Hands-on in model development, deployment and operationalization of projects in Computer Vision, NLP, etc
Strong theoretical understanding of Machine Learning concepts, as well DeepLearning base architectures, cloud-based web services architecture, design patterns and frameworks
Comfortable with exploring new research and engineering/development best practices types
Hands on experience working on and handling projects in the healthcare domain would be a desired skill
Experience in implementing Deep Learning solutions pertaining to, but not restricted to, Reinforcement Learning, Natural Language Processing, Auto ML.
Exposure to latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team
Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis,Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 8+ years experience in model development, deployment and operationalization for Computer Vision, NLP, etc.
- Strong theoretical understanding of Machine Learning concepts and Deep Learning architectures, cloud-based web services architecture, design patterns and frameworks.
- Comfortable exploring and applying new research and engineering/development best practices.
- Hands-on experience implementing Deep Learning solutions including Reinforcement Learning, Natural Language Processing and AutoML.
- Ability to implement research papers and augment solutions for production and communicate approaches to clients and teams.
- Expertise in analytical techniques: Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, statistical modelling and predictive analysis.
- Fluent communication skills and experience leading technical discussions and mentoring senior resources/team leads.
- Hands-on experience in the healthcare domain.
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
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Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
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Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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