Job Summary
We are looking for a highly experienced Data Scientist to design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications. The ideal candidate should possess expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), AI Agents, and cloud-native AI deployment.

Key Responsibilities AI/ML Development
- Design and implement Machine Learning and Deep Learning models.
- Develop scalable AI-powered enterprise applications.
- Build predictive, classification, recommendation, and forecasting models.
- Work on Computer Vision, NLP, Speech Recognition, and Personalization use cases.

Generative AI
- Develop LLM-based applications.
- Build AI Agents using LangChain/LlamaIndex.
- Implement Retrieval-Augmented Generation (RAG).
- Fine-tune foundation models.
- Prompt Engineering.

Data Science
- Data preprocessing and feature engineering.
- Statistical modelling.
- Model evaluation and optimization.
- Experiment tracking.

MLOps




- Deploy ML models using Docker and Kubernetes.
- Build CI/CD pipelines for ML.
- Model monitoring and observability.
- MLflow and Airflow integration.

Research & Innovation
- Evaluate emerging AI research.
- Prototype current AI solutions.
- Mentor junior team members.
- Participate in architecture discussions.

Mandatory Skills
- Python
- Machine Learning
- Deep Learning
- NLP
- Generative AI
- LLM
- LangChain
- Prompt Engineering
- RAG
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- SQL
- Docker
- Kubernetes
- MLflow
- Airflow
- Git
- REST APIs

Good-to-Have Skills
- Hugging Face
- LlamaIndex
- FAISS
- Pinecone
- ChromaDB
- OpenAI APIs
- Claude APIs
- AWS SageMaker
- Vertex AI
- Azure OpenAI
- Spark
- Kafka
- ElasticSearch
- Grafana
- Prometheus

📌 Senior Data Scientist – AI/ML (Bangalore Urban)
🏢 PineQ Lab Technology
📍 Bangalore Urban