Data Scientist Gen AI

2 weeks ago

kochi, India Wenger & Watson Full time

Work experience - 4 - 8 years


GenAI (2+ yrs). Must have working expereince in LangChain, Rag, Transformers, LLM, Open AI. Must have worked on Rag Architecture Transformer fine tuning, etc


Notice Period - Immediate to 30 days only


Responsibilities:

• Design and implement advanced solutions utilizing Large Language Models (LLMs).

• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.

• Conduct research and stay informed about the latest developments in generative AI and

LLMs.

• Develop and maintain code libraries, tools, and frameworks to support generative AI

development.

• Participate in code reviews and contribute to maintaining high code quality standards.

• Engage in the entire software development lifecycle, from design and testing to

deployment and maintenance.

• Collaborate closely with cross-functional teams to align messaging, contribute to

roadmaps, and integrate software into different repositories for core system compatibility.

• Possess strong analytical and problem-solving skills.

• Demonstrate excellent communication skills and the ability to work effectively in a team

environment.

Primary Skills:

• Natural Language Processing (NLP): Hands-on experience in use case classification,

topic modeling, Q&A and chatbots, search, Document AI, summarization, and content

generation.

AND/OR

• Computer Vision and Audio: Hands-on experience in image classification, object

detection, segmentation, image generation, audio, and video analysis.

• Generative AI:

o Proficiency with SaaS LLMs, including Lang chain, llama index, vector

databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with

Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video

modalities.

o Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and

huggingface. Techniques such as quantization, LLM finetuning using PEFT,

RLHF, data annotation workflow, and GPU utilization.


• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud

certification is preferred.

• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and

Git.

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