Senior Data Scientist

Job Requirements:

-Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in ITOT Products space

-Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization model training inference latency and system level bottlenecks

-Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs

-Ensure ML Model performance uptime and scale maintaining high standards of code quality and thoughtful design quality and monitoring

-Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks

-Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs GPUs

Your background and who you are

-MS or PhD in Computer Science Software Engineering Electrical Engineering or related fields

-3 years of industry experience with Python in a programming intensive role

-2 years of experience with one or more of the following machine learning topics classification clustering optimization recommendation system graph mining deep learning

-3 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc

-3 years of industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy genism Cornel etc

-3 years of industry experience with major cloud computing services

-Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureML

-Prior experience in building data products and established a track record of innovation would be a big plus

-An effective communicator you shall be an ambassador for Machine Learning engineering at external forums and have the ability to explain technical concepts to a nontechnical audience

Preferred Qualifications:

-Proficient Python PySpark coding experience

-Proficient in containerization services

-Proficient in Azure ML to deploy the models

-Experience with working in CICD framework

-Motivation to make downstream modelers work smoother

-Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureML

-Industry experience with popular ml frameworks such as Spark MLlib Keras ---Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etc

-Experience in designing scalable services controller architecture using FastAPI