Senior Machine Learning Engineer
- Excel
- Machine Learning
- Python
- PySpark
- SQL
- Natural Language Processing
- AWS SageMaker
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 clientโs 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