Senior Machine Learning Engineer - Data Analytics

About the role

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!

What you'll do

• Experimenting with range of models, evaluating model performance and model selection
• Performing data cleaning, feature engineering, selection and evaluation
• Implementing the data and model training pipelines on cloud using AWS services such as sagemaker, lambda functions, etc
• Documentation for Model architecture and solutions
• Collaboration with cross-functional teams, including platform engineers, Machine learning engineers, software developers and business stakeholders

What you need

• 3–5 years in data science & ai
• Machine learning
• Data analysis
• SQL
• Python
• AWS
• Pandas
• Any graduate

Good to have

• ETL
• LLMs
• Redshift
• Prompt engineering
• NumPy
• Kafka