Senior Data Scientist

4 weeks ago

Bengaluru, Karnataka, India Living Things Full time
Job Title: Sr Data Scientist

Organization: Living Things Pvt. Ltd

Location: Bangalore

Job Type: Full-Time

Experience Level: Mid-Level (3+ years experience)

About Us:

Living Things is a pioneering IoT platform by iCapotech Pvt Ltd, dedicated to accelerating the net zero journey towards a sustainable future. We bring mindfulness in energy usage by our platform. Our solution seamlessly integrates with existing air conditioners, empowering businesses & organisations to optimise & reduce energy usage, enhance operational efficiency, reduce carbon footprints, and drive sustainable practices. Analysis of Electricity consumption across all locations from Electricity Bills. By harnessing the power of real-time data analytics and intelligent insights, our energy saving algorithm helps in saving a minimum of 15% on Air Conditioner's energy consumption.

About the Role:

We are seeking a highly skilled and passionate Data Scientist to join our team who will play a pivotal role in developing and deploying cutting-edge solutions, particularly in the domain of document extraction using State of the Art Large Language Models (LLMs) and Retrieval-augmented generation (RAG).

Job Responsibilities:

- Document Extraction using LLMs:
- Design and develop robust document entity extraction models using State of the Art LLMs.
- Fine-tune LLMs for specific document extraction tasks.
- Evaluate model performance and optimize for accuracy, efficiency, and scalability.

1.RAG Development:

- Development of RAG pipelines for Question answering based on documents
- Agentic RAG pipelines for communicating with the database
- Apply advanced machine learning and deep learning algorithms to solve complex data-driven problems.

2.LLMOps:

- Implement and maintain robust LLMOps pipelines for finetuning training and monitoring.
- Develop and implement strategies for continuous model improvement and retraining.
- Collaboration & Communication:
- Effectively communicate technical concepts to both technical and non-technical audiences.
- Collaborate with cross-functional teams to ensure successful project delivery.

Skills and Qualifications:

Essential:

- 3+ years of hands-on experience in developing and deploying machine learning models. Experience with fine-tuning and deploying LLMs.
- 3+ years of experience with building RAG pipelines.
- Strong proficiency in Python and SQL.
- Deep understanding of machine learning and deep learning concepts.
- Experience with Docker and Git.

2.Preferred:

- Master's degree or PhD in Computer Science, Data Science, Statistics, or a related field.
- Proficiency with using open state-of-the-art technologies for RAG components, including:
- Efficient vector databases: Faiss, Milvus, Qdrant, Weaviate
- Dense retrieval methods: DPR (Dense Passage Retriever), ColBERT, ANCE
- Knowledge graph embeddings: RDF2Vec, TransE, RotatE
- LLM integrations: Hugging Face Transformers, OpenAI API
- Search engines: Elasticsearch, Solr
- Experience with cloud computing platforms (e.g., Google Cloud Platform, AWS, Azure).
- Strong understanding of natural language processing (NLP) techniques.
- Excellent communication and presentation skills.

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