Associate Architect - Machine Learning

Location: IN MH Mumbai Eureka, IN KA Bengaluru

Time Type: Full time

Job Description

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