Job Description
- Design and develop advanced machine learning models for a variety of applications.
- Work closely with data engineers and machine learning engineers to deliver products for hundreds of millions of users.
- Experiment and innovate in AI & machine learning applications to Condé Nast’s business problems.
- Mentor and guide junior team members, fostering a culture of innovation and excellence.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
- Stay up-to-date with the latest advancements in data science and machine learning.
- Analyze complex problems and translate them into data science algorithms.
- Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team.
Location:
Bengaluru, KA
About The Role : As a senior member of the Data Science and Machine Learning Engineering (DS/MLE) team you will be the technical expert that builds models for initiatives such as user personalization, recommendation systems and user behaviours. You will take a mentorship role within the DS/MLE team and work collaboratively with other business areas.
**About the Responsibilities:**
Responsibilities include, but are not limited to:
- Design and develop advanced machine learning models for a variety of applications.
- Work closely with data engineers and machine learning engineers to deliver products for hundreds of millions of users
- Experiment and Innovate in AI & machine learning applications to Conde Nast’s Business problems
- Mentor and guide junior team members, fostering a culture of innovation and excellence.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
- Stay up-to-date with the latest advancements in data science and machine learning.
**MINIMUM QUALIFICATIONS**
- Bachelor's with more than 5 years of relevant experience OR Masters with more than 3 years of relevant experience OR PhD with at least 2 years of relevant industry experience
- Degree in Computer Science, Statistics, Mathematics, Econometrics, or other relevant fields
- Strong fundamentals in algorithms and data structures, coding, ML system architecture design and deployment at scale
- Experience in analysing complex problems and translate it into data science algorithms
- Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)
- Experience in statistical analysis and experiment design
- Strong software development skills with proficiency in Python
- Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
- Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
