Company Description:
Your Partner is a strategic technology partner delivering reliable turnkey AI solutions. Our
streamlined approach to development ensures high-quality results and client satisfaction. We bring experience
and clarity to organizations powering every human decision with analytics & AI.
Our team consists of statisticians computer science engineers data scientists and product managers. With
expertise flexibility and cultural alignment we understand the business analytics and data management
imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and
deliver outcomes that matter.
We provide best-in-class services that increase profit for businesses and deliver improved value for customers
helping businesses grow transform and achieve their objectives.
Job Details:
Position: Data Scientist Lead-GenAI
Experience: 8 to 10 Years
Work Mode: Pune (Viman Nagar) Onsite
Must Skills:
GenAI 2 years Mandatory) People manager stakeholder management.
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning (DL)
Python
NLP Libraries: NLTK spaCy TextBlob TensorFlow PyTorch Hugging Face.
Pre-trained Models: BERT GPT-3 Transformers
Text Preprocessing: Tokenization Part-of-Speech Tagging Lemmatization Stemming Named
Entity Recognition
NLP Tasks: Sentiment Analysis Text Classification Entity Recognition
Responsibilities:
Develop and deploy machine learning models and NLP solutions.
Optimize performance for GenAI applications.
Collaborate with cross-functional teams to deliver AI-driven insights.
Stay updated with the latest advancements in NLP technologies.
People manager stakeholder management.
machine learning,deep learning (dl),nlp,nlp libraries: nltk, spacy, textblob, tensorflow, pytorch, hugging face,models,clarity,nlp tasks: sentiment analysis, text classification, entity recognition,machine learning (ml),data,python,pre-trained models: bert, gpt-3, transformers,data scientist,genai,management,text preprocessing: tokenization, part-of-speech tagging, lemmatization, stemming, named entity recognition,learning,analytics,ml,stakeholder management,natural language processing (nlp)