Senior Machine Learning Engineer

Quantiphi; Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Quantiphi is seeking a Senior Machine Learning Engineer in Mumbai with 4+ years of experience to design and deploy advanced ML solutions. You will collaborate with offshore data teams to build models that drive business outcomes and provide actionable insights to clients.

The role involves mentoring junior engineers, developing end-to-end ML pipelines, and working across on-site teams in Mumbai, Bangalore and Trivandrum.

Qualifications

• Hands-on experience with statistical tools and techniques.
• Strong analytical skills with expertise in logistic regression, cluster/factor/multivariate regression and predictive analytics.
• Experience with GenAI projects.
• Proficient in Python, PySpark and SQL.
• Hands-on NLP experience and use cases.
• Experience deploying ML models and end-to-end ML pipelines.
• Experience with cloud computing services like AWS; Sagemaker is a plus.
• Creative thinker, team player and independent contributor.
• Strong data quality focus and desire to get it right.
• Charismatic communication style and strong communication skills.

Responsibilities

• Developing high-level solution architectures and collaborating with offshore big-data engineers and decision science analysts to build, test and assess models that predict and optimize client outcomes.
• Developing code and model building as per project requirements.
• Communicate insights to clients that lead to quantifiable business impact.
• Build deep relationships with clients by understanding latent needs.
• Mentor junior machine learning engineers.
• Coordinate with offshore delivery managers for seamless communication and delivery cadence.
• Researching and identifying sales opportunities, generating leads, target identification and classification.

Skills

Statistical modelling

Predictive analytics

Logistic Regression

Cluster Analysis

Factor Analysis

Multivariate Regression

NLP use cases

LLMs

Python

PySpark

SQL

AWS

Communication skills

GenAI projects

End-to-end ML pipelines

Tools

PySpark

SQL

AWS Sagemaker

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!