Senior Data Scientist
Summary
Senior AI/ML engineer or data scientist who designs, builds, and deploys machine learning and generative AI models (LLMs, NLP, computer vision) end to end, from data preprocessing through production deployment and monitoring. Core stack: Python, PyTorch/TensorFlow, MLflow, Docker, Kubernetes, and AWS/GCP/Azure.
Job Title : AI/ML Engineer/Data Scientist
Location : Jaipur
Experience : 5+ Years
Key Responsibilities :
- Design and build scalable AI and ML models to solve business challenges.
- Develop and optimize deep learning architectures (CNNs, RNNs, Transformers, LLMs).
- Work on Generative AI use cases (LLMs, prompt engineering, text summarization, embeddings, vector databases).
- Implement end-to-end ML pipelines from data preprocessing to model deployment and monitoring.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Research, prototype, and evaluate new algorithms in NLP, Computer Vision, and Predictive Analytics.
- Deploy models using tools like TensorFlow Serving, MLflow, Docker, Kubernetes, or Hugging Face Hub.
- Ensure scalability, robustness, and ethical AI practices in deployed systems.
Required Skills & Experience :
- 5+ years of hands-on experience in Machine Learning, Deep Learning, and AI-based solutions.
- Strong programming skills in Python and frameworks such as PyTorch, TensorFlow, Scikit-learn.
- Expertise in one or more of the following areas :
1. Natural Language Processing (NLP) LLMs, text classification, NER, embeddings
2. Computer Vision image recognition, object detection, OCR
3. Generative AI OpenAI, LangChain, vector databases (FAISS, Pinecone)
- Experience with MLOps tools MLflow, Airflow, Docker, Kubernetes, CI/CD pipelines.
- Proficiency in cloud platforms AWS / GCP / Azure AI services.
- Strong grasp of data structures, algorithms, and software engineering best practices.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications :
- Experience fine-tuning or deploying Large Language Models (LLMs).
- Exposure to Retrieval-Augmented Generation (RAG) frameworks.
- Familiarity with API development (FastAPI, Flask) for serving models.
- Bachelors/masters degree in computer science, AI, Data Science, or a related field.
Skills
- AI
- Airflow
- Analytics
- API
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- Data Science
- Deep Learning
- Docker
- Embeddings
- FAISS
- FastAPI
- Fine Tuning
- Flask
- GCP
- Generative AI
- Hugging Face
- Kubernetes
- LangChain
- LLM
- Machine Learning
- MLflow
- MLOps
- Model Deployment
- NLP
- OpenAI
- Pinecone
- Predictive Analytics
- Prompt Engineering
- Python
- PyTorch
- RAG
- scikit-learn
- TensorFlow
- Transformers
- Vector Databases