Posted:22 hours ago|
Platform:
Hybrid
Full Time
5 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring
Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
Experience communicating and teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving value through ML
[Preferred] Experience working with Apache Spark to process large-scale distributed datasets
[Preferred] Experience working with the Databricks platform
Datanimbus Technologies
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
bengaluru
3.0 - 8.0 Lacs P.A.
bengaluru
27.5 - 42.5 Lacs P.A.
bengaluru, karnataka, india
Salary: Not disclosed
20.0 - 35.0 Lacs P.A.
mohali, gurugram
16.0 - 25.0 Lacs P.A.
chennai, bengaluru
4.0 - 9.0 Lacs P.A.
4.0 - 7.0 Lacs P.A.
4.0 - 7.0 Lacs P.A.
noida, uttar pradesh, india
Salary: Not disclosed
7.92 - 9.0 Lacs P.A.
