Data Scientist / AIML Engineer / Gen AI Engineer

Experience Required : 3 to 4 Years

Number of Positions : 1

Compensation : 15 to 25 LPA

Work Location : Gurugram

Mode of Work : Onsite

Employment Type : Full Time

Notice Period : 0 to 30 Days

Qualification : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related quantitative field

Data Scientist / AIML Engineer / Gen AI Engineer with 3 to 4 years of experience building AI and ML applications. The ideal candidate brings strong Python and software engineering fundamentals, hands on exposure to production AI systems, and a solid grasp of RAG architectures and NLP concepts. This is an onsite role based in Gurugram, offering the chance to work closely with engineering and business stakeholders on real world AI use cases.

Must Have Skills

- 3 to 4 years of experience building AI/ML applications with solid Python and software engineering skills
- Strong proficiency in Python
- Understanding of AI system design, evaluation, monitoring, and performance optimization
- Experience developing, deploying, and maintaining production AI applications
- Strong software engineering fundamentals, including clean code, modular design, debugging, and testing
- Hands on experience with RAG architectures
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit learn
- Good understanding of NLP concepts
- Familiarity with API development and integration




- Ability to work independently as well as in collaborative team environments

Good to Have

- Experience with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB
- Knowledge of cloud platforms such as AWS, Azure, or GCP
- Experience with Docker and deployment pipelines
- Exposure to fintech products, platforms, or domain specific use cases

Roles and Responsibilities

- Design scalable, reliable AI systems with a focus on production readiness, maintainability, and performance
- Perform root cause analysis and debugging of AI pipelines to improve accuracy, consistency, and reliability
- Develop automated evaluation, validation, and testing strategies for AI applications
- Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules
- Create and maintain RAG pipelines and AI agent frameworks
- Perform data analysis, model evaluation, and performance optimization
- Develop APIs and integrate AI solutions into existing products and platforms
- Collaborate with cross functional teams including engineering and business stakeholders to define AI use cases and deliver solutions
- Monitor, troubleshoot, and continuously improve deployed AI systems

Interview Process

- L1: Test Assessment
- L2: Technical Round
- L3: Technical Round
- HR Round
- Business Head Round

Other Details

- Office Time: 9:00 AM to 6:00 PM
- Interview Panel Time Slots: 10:00 AM to 5:00 PM
- Weekend Drives: Flexible
- Salaries Paid On: Last working day of the month

📌 Data Scientist | AIML Engineer | Gen AI Engineer | Gurugram
🏢 EduBloom Talent Solutions
📍 Gurugram