Data Scientist

2 days ago

Noida Uttar Pradesh, India SourceFuse Full time

**Job Information**:
Work Experience: 5-8 Years
Industry: IT Services

**Job Type**: FULL TIME
Location: Noida, India

**Role Overview**:
**Key Responsibilities**:

- Develop and implement machine learning models and algorithms.
- Work closely with project stakeholders to understand requirements and translate them into deliverables.
- Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
- Collaborate with cross-functional teams to support various AI/ML initiatives.
- Bachelor’s degree in computer science, Data Science, or a related field.
- Strong understanding of machine learning, deep learning and Generative AI concepts.

**Preferred Skills**:

- Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python.
- Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight, Athena, Glue).
- Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) - including indexing, search, and advance retrieval patterns.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).
- Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
- Experience with version control systems (e.g., Git, CodeCommit).
- Strong knowledge and experience in Generative AI/ LLM based development.
- Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs.

**Good to have Skills**:

- Knowledge and Experience in building knowledge graphs in production.

**Interview Process**:

- 3 Technical Rounds

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