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: Senior Machine Learning Engineer
Experience Level: 3 to 8 Years
Work location: Bangalore
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 junior resources / freshers.
Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication
Must have skills:
- Ability to think creatively and work well both as part of a team and as an individual contributor
Critical eye for the quality of data and a strong desire to get it right.
A pleasantly forceful personality and charismatic communication style.
Someone who will raise the average effectiveness of the team. In short, we are looking for a “Difference Maker”.
3+ years’ hands-on experience of Hands-on in model development, deployment, and operationalization of projects in statistical ML, NLP, etc
Python, with proficiency in class-based coding.
Strong understanding of coding standards and CI/CD practices.
Proficient in SQL for data analytics including querying, analyzing and processing large datasets.
ML development experience, particularly in statistical ML regression and classification models.
NLP expertise, including embedding techniques and transformers, clustering methods.
Knowledge of statistical techniques for data analysis.
Understanding of MLOps basics, including model training, data/model monitoring, and retraining.
Strong theoretical understanding of Machine Learning concepts, as well as DeepLearning-based 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 about, but not restricted to, reinforcement Learning, Natural Language Processing, and Auto ML.
Exposure to the 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 toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis.
Experience in designing GenAI chatbots
Proficiency with vector databases
Familiarity with agentic AI frameworks
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 3+ years hands-on experience in model development, deployment, and operationalization in statistical ML and NLP
- Proficiency in Python with class-based coding
- Proficient SQL skills for querying, analyzing and processing large datasets
- Strong understanding of coding standards and CI/CD practices
- Experience with MLOps basics: model training, monitoring, and retraining
- Deep Learning experience, including architectures and implementation
- NLP expertise including embedding techniques, transformers, and clustering methods
- Experience implementing Deep Learning solutions including Reinforcement Learning, NLP, and AutoML
- Proficiency with vector databases
- Experience designing GenAI chatbots
- Familiarity with agentic AI frameworks
- Strong theoretical understanding of machine learning concepts and statistical techniques
- Ability to read, implement, and extend cutting-edge research papers
- Excellent client communication and the ability to lead technical discussions
- 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.
