Senior Machine Learning Engineer

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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: 4-8Years

Work location: Bangalore/Mumbai/Trivandrum (Hybrid)

Notice Period: 0-30 days

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

Skills Required:

Apart from being Driven, Energetic and Ambitious, you’ll need the following:

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