What you bring in:
5+ years of experience in designing, developing, and deploying ML models at scale, with a focus on NLP-driven solutions.
Strong background in Natural Language Processing (NLP), including text classification, entity recognition, language modeling, and transformer-based architectures.
Experience in building and deploying models at scale, handling millions of messages efficiently while maintaining performance and accuracy. Also working with on-device models.
Ability to not only build ML models but also take ownership of deploying them into production, ensuring scalability, reliability, and monitoring.
Knowledge of anomaly detection, adversarial ML techniques, and risk modeling to identify and prevent spam and fraudulent messaging activities.
Solid ability to take ML models from research and experimentation to production, working closely with ML engineers and data engineers.
Expertise in machine learning libraries such as TensorFlow, PyTorch, pandas and Scikit-learn, along with NLP-specific tools like Hugging Face Transformers, spaCy with experience in TFlife, ONNX.
Hands-on experience fine-tuning LLMs including transformer-based architectures (BERT, GPT, LLaMA,



T5, etc.) for domain-specific applications, including knowledge distillation, quantization, and model compression for efficiency.
Strong ability to design, refine, and optimize prompts for LLM-based applications, ensuring high-quality responses and reduced model hallucinations.
Ability to leverage data driven decision by experimentation, and statistical analysis to improve models and business outcomes.
Robust understanding of designing, testing, and optimizing prompts for LLM-based applications to improve model accuracy and efficiency.
Programming knowledge in at least one language, such as Python or R. Preferably python.
Expert knowledge of machine learning algorithms.
Familiarity with database modelling and data warehousing principles with a working knowledge of SQL
Experience in building and optimizing large-scale data processing systems using Spark/PySpark
Robust ability to work cross-functionally with engineers, product managers, and business stakeholders to align ML solutions with company objectives.

📌 Senior Data Scientist Bengaluru
🏢 Truecaller
📍 Bengaluru