- 8+ years of experience in data science or a related field.
- Experience with smart maintenance using Databricks and large language models (LLMs).
- Experience deploying models (ML or LLM) outside Cognite and consuming them through Cognite API.
- Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering).
- Experience with deep learning and neural networks, particularly for LLMs.
- Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation.
- Experience working with models like GPT and BERT.
- Building conversational agents using LLMs and ML workflows.
- Techniques for model evaluation (e.g., cross-validation, A/B testing).
- Experience with JSON, REST APIs, and Data Modeling.
- Strong experience with Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage.
- Robust knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis.
- Experience with ETL processes.
- Ability to integrate data from different sources.
- Experience with Azure, AWS, or Google Cloud for data storage, processing, and deployment.
Familiarity with continuous integration and continuous deployment processes for automating ML model and data pipeline deployment.
BGV Check(post or pre-onboarding)
Post
Subcon Staffing end date:
Dec ,2025
Niche Category (Niche/ Super Niche/Vanilla):
Niche
Client interview* (yes/No):
Yes
One person project* (yes/No)
No
Required Experience:
>5 years
Job Level
JL5
📌 Data Scientist (Bengaluru)
🏢 Clifyx
📍 Bengaluru
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