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Senior Machine Learning Engineer

Quantiphi
Location
IN MH Mumbai Eureka · IN KA Bengaluru
Workplace
Employment
Salary
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Posted 15d ago

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!

Skills

  • Machine Learning
  • Generative AI
  • Python
  • PySpark
  • SQL
  • NLP
  • LLM
  • AWS
  • SageMaker

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