Gen AI Specialist
Gen AI Specialist
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Job Description
Job Description
Education and Work Experience Requirements:
5 to 8 years of experience as Data Scientist or GenAI specialist
2 to 3 years of experience in Generative AI solution development.
Proven track record and experience with with GenAI technologies
Open source LLMs like Llama Gemma Mixtral etco Closed source LLMs such as Open AI GPT Azure Open AI Claude Gemini etco Prompt Engineering/Tuning RAG RAFT LLM finetuning such as PEFT(LoRA QLoRA ..)
Understanding of SLMs such as Phi3 BERT and Transformer architectureo Vector databases like Pincone Qdrant etc.
Good knowledge of advanced statistical methods. Experience working with Text Data using transformerbased model
Expertise with the following scripting languages:o Python R Tensorflow Keras Pytorch
OpenNLP CoreNLP WordNet NLTK SpaCy Gensim Large Language Models Knowledge Graphs
Good and experience of machine learning algorithms and ability to apply them in supervised and unsupervised NLP tasks.
Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition entity extraction language modeling text classification question answering text summarization topic modeling and so on.
Experience building and finetuning Language Models (LMs) such as BERT ELMo XLNet etc to solve bespoke NLP tasks.
Tech savy and willing to work with openSource Tools
Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently.
Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development.
Strong interpersonal and communication skills: ability to tell a clear concise actionable story with data to folks across various levels of the company.
Good to have foundational knowledge on Cloud API frameworks like Flask Fast API Swagger/Postman tools
Prior experience working on Mobility or Healthcare domain will be a plus
Mandatory Skills: Design develop test and deploy Machine Learning models using stateoftheart algorithms with a strong focus on language models.
Strong understanding of LLMs and associated technologies like RAG Agents VectorDB and Guardrails
Handon experience in GenAI frameworks like LlamaIndex Langchain Autogen etc.
Experience in cloud services like Azure GCP and AWS Interact with our research team and with key partners in the market to build endtoend AI/ML/NLP solutions: Conversational AI document understanding and QnA.
Mine and analyze data applying statistical methods as necessary pertaining to customers discovery and viewing experiences to identify critical product insights.
Proactively develop new metrics and studies to quantify the value of different aspects of product.
Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication education and data visualization.
Translate analytic insights into concrete actionable recommendations for business or product improvement.
Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams.
Define and deploy best practices in Machine Learning & MLOps/LLMOps mentor and teach colleagues.
Partner closely with product and engineering leaders throughout the lifecycle of projectAdditional Information:A Masters or PhD is preferred (Computer Science / Machine Learning/ Mechanical etc) from tier 1 institutions. If Bachelors Machine Learning or Computer Science specialization only
Qualifications :
BEBTechMS MTech or MCA
Additional Information :
5 to 8 years of experience as Data Scientist or GenAI specialist
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
