Description

Job Description

  • 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 gensim CoreNLP 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 PythonPySpark 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


 

Key Skills
Education

Any Graduate

Back To Jobs