The job involves utilizing Python and machine learning techniques, specifically for NLP tasks and data processing, using tools like Spark and Azure.
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 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentTop Skills
Airflow
Azure
Azure Ai Foundry
Machine Learning
Natural Language Processing
Python
Spark
Similar Jobs
AdTech • Marketing Tech
The Data Science/Machine Learning Engineer will work with machine learning techniques, LLMs for NLP tasks, and data processing tools.
Top Skills:
AirflowAzureAzure Ai FoundryPythonSpark
AdTech • Marketing Tech
Seeking a Data Science/Machine Learning Engineer with strong Python and machine learning skills, particularly in NLP and cloud platforms.
Top Skills:
AirflowAzureAzure Ai FoundryPythonSpark
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Paid Media Specialist will develop and execute digital employer branding campaigns across various platforms, optimize performance, and report on effectiveness.
Top Skills:
Google AdsLinkedInMetaProgrammatic AdvertisingRedditYoutube
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
