Senior Machine Learning Engineer

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: Senior Machine Learning Engineer

Experience Level: 4+ Years

Work location: Mumbai, Bangalore & Trivandrum

Roles and 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 quantifi able 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 identifi cation and classification

Skills Required:
● 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 GenAI 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 pipelines
● 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 skills