Quantiphi
Website:
quantiphi.com
Company:
https://www.linkedin.com/company/quantiphi
Industries: IT Services and IT Consulting
Job details:
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: Associate Architect Machine Learning Engineer
Experience Level: 6+ Years
Work location: Bangalore/Mumbai/ Trivandrum
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.
- Developing code and model building as per project requirements
- 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.
- Mentoring Junior Machine Learning engineers
- 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
Required Skills
- Hands-on experience with statistical tools and techniques
- Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
- Should have worked on GenAl projects in the past
- Hands on experience with Python, Pyspark and SQL development
- Hands on experience of NLP related use cases
- Hands on experience of LLMs
- Experience productionising machine learning models, and managing and designing end to end ML systems, and data piplines
- Hands on experience with cloud computing services like AWS (Sagemaker experience is a plus) 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 strong desire to get it right.
- A pleasantly forceful personality and charismatic communication style.
- Strong communication skill
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Click on Apply to know more.
