Lead Data Scientist - Mumbai, India - Zyvka
Description
ABOUT THECOMPANY
OurCulture:
Ourmission is to empower people businesses and communities. A culturecreated less by what we do and more by who we are.
When people askwhat our team is about we point to our core values:
championcustomer success bring our best achieve together get stuff done andinnovate every day.
Were always on the lookout for new curious andcapable people who can help us achieve our goal and we are seekingdiversity in the people who join our team.
We want to make surethat our company reflects the demographic of our customers clientsand the communities in which we operate.
So if you want to work fora friendly global inclusive and innovative company wed love to meetyouWhatWe Do:We are apremier people development company. We believe people can achieveanything when they have the right development and growthopportunities. We offer organizations the technology contentexpertise and specialized focus to help them realize the potentialof their people.
Featuring comprehensive recruiting personalizedlearning modern training content developmentdriven performancemanagement and holistic employee data management and insights Ourpeople development solutions are successfully used by more than 100million people in 180 countries and in nearly 50languages.
We takespecial care to ensure the security and privacy of the data of itsusers.ABOUTTHE ROLE Weprovide an AIpowered Talent Experience Platform for unified contentdiscovery knowledge management and personalized learning platformfor your career journey.
Our awardwinning Platform is used globallyby Fortune 500 companies and government organizations to solvecontent discovery curation and recommendation problems acrossexternal internal and tacit knowledgesources.
Inthe Data Science and Machine Learning team we are looking for solidhandson technologists with solid timemanagement skills andexperience in highly autonomous roles.
You also functioneffectively in a collaborative environment and are comfortablemaking independentdecisions.KEYRESPONSIBILITIES
Work onnew initiatives for Machine Learning using conversational NLPtechniques and introduce MLbased learning for recommendation andcoaching assistant in ourproductsWork with theengineering teams and ensure timelydeliveries.
Ability toexperiment and iterate rapidly and provide tangible improvements inthe overallengagement
Youve Got What It Takes If You Have:
Mastersor bachelors degree in computer science or a related study orequivalentexperience.6 years ofhandson experience architecting and designing highly scalable andresilientsystems.
Experience indesigning & scaling applications based on Data Science NLPand conversationalAIUnderstanding of MLalgorithms classical and deep learning and MLframeworksGoodunderstanding of system availability security and performancemanagement.
Hands onwork experience in:
PyTorch and its ecosystem of libraries Word anddocument embeddings Transformers and Attention RNN LSTM Abackground in BERT and its variants transferlearning practices NLPLibraries: NLTK Genism Spacy MLpipelines Apache Airflow/ Kubeflow/RAY OpenAI libraries and Models LLMs scikitlearn Pandas Numpyplotting using matplotlib seabornHuggingFace.
Besidethe knowledge of framework or libraries having experience inbuilding the recommendation systems with following algorithms willbe considered as aplus:GenerativeModels i.e. VAE &GANCollaborativebased filtering/ Context aware/Graph based recommendersystemsFactorizationMachine Deeprecommender
Experiencewith any of the following is considered aplus:
TensorFlowBigdata andPySparkData wranglinglibraries:
Beautiful Soup orScrapyR librariesTaking models toproductionCloudTechnologies:GCP/AWSML GraphModels GNN andNetworkX
MUST HAVESKILL:
MandatoryNLP and GenAI handsonexperience
NOTE 1.
Kindly tell usany two problems you see in the LMS industry or faced in yourcareer while completing any course for self learning or trainingand how can you address them with AI2.
Whats the bestAI lesson or technology or methodology you learnt in your life withyour careerexperience3. Listthe projects completed or ongoing using GenAI if any and the mostcomplex problem solved by you using GenAI4. Do you have anyexperience on finetuning of LLMs if yes kindly explain how you didand why it was required5.Do you haveexperience in deploying the ML model in production if yes kindlywrite a brief about Model and MLOps part6.
Do you have anyexperience or knowledge of building recommendation systems if yeskindly explain the 3 approaches (traditional using moderate AItechniques and withGenAI)huggingface,gen-ai,nltk,wordand document embeddings,pytorch,transformers andattention,spacy,pyspark,artificialintelligence,scikit-learn,gensim,pandas,rnn,openai libraries andmodels,r libraries,big-data,data wranglinglibraries,numpy,tensorflow,nlp,bert and its variants,cloudtechnologies,matplotlib,seaborn,ml,ml graph models,generativemodels,collaborative based filtering,lstm,datascience,transfer-learning,ml-pipelines,factorizationmachine