Data Science/Machine Learning Engineer at dentsu
, , India -
Full Time


Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Machine Learning, Natural Language Processing, Classification, Recommenders, Clustering, LLMs, Data Processing, Spark, Airflow, Azure AI Foundry, Cloud Platforms

Industry

Advertising Services

Description
Job Description: JD: • Proficiency in Python. • Strong knowledge and experience of machine learning techniques - natural language processing, classification, recommenders, clustering. • Knowledge and experience of prompting LLMs for NLP tasks like classification, creative generation, reasoning. • Experience with data processing techniques and tools like Spark, Airflow, Azure AI Foundry and cloud platforms Azure will be an advantage. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Can’t find a suitable job? Sign up for job alerts tailored to your interests and be first in line for new opportunities. About dentsu For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work
Responsibilities
The role involves utilizing machine learning techniques and natural language processing to develop solutions. Candidates will also work with data processing tools and cloud platforms.
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