Senior Data Scientist - LLM/Deep Learning

Job Title : Senior Data Scientist

Education : Bachelors degree in Engineering

Experience : 4 to 6 years

Location : Bangalore

About the Role :

We are building the next-generation automated health-insurance claims processing platform, leveraging AI/ML, deep learning, NLP, OCR, and LLM-powered intelligence. As a Data Scientist, you will contribute to the design, development, deployment, and optimization of AI models that power large-scale claims decisioning across multiple regions. This is a hands-on technical role where you will work alongside senior data scientists, gain exposure to end-to-end ML pipelines, and grow your expertise in a fast-paced, mission-critical environment

Roles & Responsibilities :

Model Development, Deployment & Production Support :

- Contribute to the development, training, and validation of ML models used in automated health-claims processing.

- Assist in building and maintaining end-to-end machine learning pipelines including data ingestion, feature engineering, and model evaluation.

- Experiment with classical ML models (tree-based, linear, clustering) and modern approaches (NLP, transformers) under senior guidance.

- Support monitoring of model performance and data quality in production environments.

- Implement and test model improvements based on feedback and performance metrics.

Build Efficient, Scalable & High-Accuracy Models:

- Implement model compression, distillation, and quantization when required to meet SLAs.

- Ensure solutions perform reliably across heterogeneous real-world datasets and regions.

Implement End-to-End ML Pipelines:

- Implement automated ML pipelines covering structured, unstructured, and document based data.

- Build feature engineering, model training, validation, and retraining workflows.

- Implement CI/CD for ML, model versioning, and automated retraining strategies.

- Work closely with engineering teams to operationalize ML using MLOps best practices.

Experience in AI Techniques:

- Hands-on experience with classical ML models including tree-based models, linear models, clustering, and anomaly detection.

- Experience with deep learning architectures such as CNNs, RNNs, and Transformers.

- Strong background in NLP and LLM-based solutions for extraction, summarization, classification, and claim interpretation.

- Ability to evaluate and select the most appropriate technique for each problem.

Strong Technical Acumen:

- Deep understanding of data structures, machine learning algorithms, and modern AI architectures.

- Proficiency in Python, ML frameworks such as PyTorch and TensorFlow, and cloud platforms including AWS, GCP, or Azure.

- Familiarity with distributed systems, microservices, APIs, and containerized deployments.

- Experience building scalable data pipelines and feature stores.

- Define data quality standards, metadata tracking, and experiment management practices.

- Write high-quality, production-ready Python code using frameworks such as PyTorch, Hugging Face, LangChain, or Ollama.

- Conduct rigorous model validation, interpretability analysis, and bias detection.

Collaboration & Communication:

- Collaborate with senior data scientists, ML engineers, and product teams to deliver solutions

- Document experiments, findings, and model decisions clearly

- Participate in code reviews, technical discussions, and knowledge-sharing sessions

- Proactively communicate progress, blockers, and learnings to the team

Requirements :

- Engineering degree in Computer Science, Statistics, Mathematics, or a related field

- 4 to 6 years of experience in data science or ML (including internships or academic projects)

- Solid understanding of ML fundamentals : supervised/unsupervised learning, model evaluation, overfitting

- Hands-on experience with Python and key libraries : scikit-learn, pandas, NumPy

- Hand-on experience with LLMs, RAG and Agentic Pipelines

- Familiarity with at least one deep learning framework : PyTorch or TensorFlow

- Basic knowledge of NLP : tokenization, embeddings, text classification

- Working knowledge of SQL for data querying and manipulation

- Exposure to cloud platforms (AWS, GCP, or Azure) and version control (Git)

- Strong analytical thinking and problem-solving skills

- Eagerness to learn, take ownership, and grow in a fast-paced environment

About Hireginie :

Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.