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 project
Additional 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 :
58 years
Remote Work :
No
Employment Type :
Fulltime