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WQ

Senior Machine Learning Engineer

wd1:quantiphi:careers_at_quantiphi
๐Ÿ‡ฎ๐Ÿ‡ณ India
On-site
Senior
1 week ago
  • Excel
  • Machine Learning
  • Python
  • PySpark
  • SQL
  • Natural Language Processing
  • AWS SageMaker
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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+ Years

Work location: Mumbai, Bangalore & Trivandrum

Roles and Responsibilities:
โ— 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 clientโ€™s success criteria.
โ— Developing code and model building as per project requirements
โ— Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifi able business impact.
โ— Building deep relationships with clients by understanding their stated but more importantly, latent needs.
โ— Mentoring Junior Machine Learning engineers
โ— Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.
โ— Researching and identifying sales opportunity, generating leads, target identifi cation and classification

Skills Required:
โ— Hands-on experience with statistical tools and techniques
โ— Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
โ— Should have worked on GenAI projects in the past
โ— Hands on experience with Python, Pyspark and SQL development
โ— Hands on experience of NLP related use cases
โ— Hands on experience of LLMs
โ— Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines
โ— Hands on experience with cloud computing services like AWS (Sagemaker experience is a plus)
โ— Ability to think creatively and work well both as part of a team and as an individual contributor
โ— Critical eye for the quality of data and strong desire to get it right.
โ— A pleasantly forceful personality and charismatic communication style.
โ— Strong communication skills

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

Senior Machine Learning Engineer ยท wd1:quantiphi:careers_at_quantiphi

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