JD:
5 years exp
Budget : 20 LPA
The candidate does not need to have all the must-have qualifications. If the candidate is very skilled in, for example, NLP and LLMs, then it is fine experience in classical ML. The main requirement is a senior data scientist, preferably with knowledge of NLP.

Description
In this role, you'll be responsible for building machine learning-based systems and conduct data analysis that improves the quality of our large geospatial data. You'll be developing NLP models to extract information, using outlier detection to identifying anomalies, and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation, and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities
Development of machine learning models
Building and maintaining software development solutions
Provide insights by applying data science methods
Take ownership of delivering features and improvements on time





Must-have Qualifications
Solid programming skills and extensive experience with Python
Hands-on experience in fine-tuning and deploying deep learning models, experience with LLM fine-tuning is a plus.
Skilled experience working with LLMs, transformers and open-source models from HuggingFace
Skilled experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc).
Experience using deep learning libraries and platforms, such as PyTorch
Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
Excellent analytical and problem solving skills
Excellent oral and written communication skills

Extra Merit Qualifications
Knowledge in at least one of the following: NLP, information retrieval, data mi

📌 Ai Ml Engineer Bengaluru
🏢 Tranzeal
📍 Bengaluru