Posted:2 days ago|
Platform:
Work from Office
Full Time
1.Designing, build, and optimize machine learning models for classification, regression &
NLP
2.Experience in model training, validation, and deployment pipelines using frameworks like
TensorFlow, PyTorch, or Scikit-learn.
3.Excellent proficiency in Python (Good to have experience with PySpark)
4.Prompt Engineering
5.Prior experience of building Generative AI applications using tools and frameworks like
LangChain or another libraries
6.Monitor model performance and retrain models as needed
7.Experience building Agentic AI applications will be a plus
8.Understanding of MlOps best practices
9.Strong foundation in Python, ML/AI frameworks, cloud platforms (AWS, Azure, GCP),
and LLM-based architectures with vector databases and RAG pipelines
10.Proven track record of taking solutions from design deployment adoption
1.Work closely with other data scientists, software engineers, and business stakeholders
to translate requirements into technical solutions
2.Mentor junior engineers and contribute to technical design reviews
a.Stay updated with the latest advancements in AI/ML and data engineering
technologies.
b.Propose and implement innovative solutions to improve business processes.
b.Develop and maintain ETL pipelines for large-scale data ingestion and
transformation.
c.Work with structured and unstructured data from multiple sources (APIs,
databases, streaming platforms).
d.Optimize data storage and retrieval using SQL/NoSQL databases and cloud data
warehouses.
Interview methods:
1. first round will be virtual
2. Final level will be F2F either in Bangalore or chennai location
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