Data Scientist

3 days ago

Uttar Pradesh, India SID Global Solutions Full time

**Job Information**:
Job Opening ID

**ZR_869_JOB**

Date Opened

**04/03/2025**

Industry

**IT Services**

Job Type

**Full time**

City

**Gurugram**

State/Province

**Uttar Pradesh**

Country

**India**

Zip/Postal Code

**242221**

**Job Title: Data Scientist**
**Location: Gurgaon (On-Site)**
**Type: Full Time**
**Experience: 5 Years**

**Must Have: Data Science, Python, MLOps, RAG, GenAI, LangChain/ llama index, Fast API, Cloud Base Deployments.**

**Responsibilities**:

- Machine Learning Engineer with strong knowledge of Python, Data Science, GenAI, MLOps and cloud-based deployments
- Has fair understanding of GenAI related eco-system like RAG, LLM, Vector DB, Prompting, Embedding etc.
- Build, train and deploy models for inferencing and build surrounding APIs to access them on cloud and on-prem
- Use data to change the economic ecosystem of the bank and Indian Financial space.
- The logo of the team is data can create magic and revenue streams for the bank and GenAI + ML+MLOps is just a way achieve the goal.
- Fine tuning and creating inference services using cutting edge technologies vLLM, Adapters
- Strong mentor for junior machine learning engineers and data scientist
- Certified in at least one cloud preferably AWS or GCP, preferably in Data field.

**Key Skills**:

- Machine Learning Engineer with strong knowledge of Python, Data Science, GenAI, MLOps and cloud-based deployments
- Strong knowledge of EDA, NLP, RAG, LLM, VectorDB, Prompting, Embedding and Semantic Search based techniques
- Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA/mistral and FLAN T5 etc.
- Strong knowledge of LangChain/ llama index framework and Fast API of python is a must have.
- Knowledge of run times like ONNX, Quantization, QLORA techniques
- Working experience of Cloud preferably AWS. Classification - Public Classification - Public
- Knowledge of Classification, Q&A network using BERT etc.
- Strong knowledge of TensorFlow and PyTorch frameworks.
- Experience using CI/CD and containerized environments (e.g.
- K8) Understanding of machine-learning and operations research
- Analytical mind and business acumen paired with problem-solving ability
- Excellent communication and presentation skills and positive attitude towards work.

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