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Senior Machine Learning Engineer

Quantiphi · Bengaluru

Posted
29 days ago
Experience
4+ yrs
Pay
Not stated
Role
Data scientist
Machine LearningNLPPythonSQLAWSExcelSpark
Apply on Quantiphi's siteOpens the company's own careers page.

About the job

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 !

Apply now

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