AI/ML Engineer

ML EngineerLocation US GA preferred but not limitedJob DescriptionLeverage distributed training systems to build scalable machine learning pipelines for model training and deployments in ITOT Products spaceDesign and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization model traininginference latency and systemlevel bottlenecksResearch and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMsEnsure ML Model performance uptime and scale maintaining high standards of code quality and thoughtful design quality and monitoringOptimize integration between popular machine learning libraries and cloud ML and data processing frameworksBuild Deep Learning models and algorithms with optimal parallelism and performance on CPUs GPUsYour background and who you areMS or PhD in Computer Science Software Engineering Electrical Engineering or related fields3 years of industry experience with Python in a programming intensive role2 years of experience with one or more of the following machine learning topics classification clustering optimization recommendation system graph mining deep learning3 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc3 years of industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etc3 years of industry experience with major cloud computing servicesBackground or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureMLPrior experience in building data products and established a track record of innovation would be a big plusAn 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 audiencePreferred QualificationsProficient PythonPySpark coding experienceProficient in containerization servicesProficient in Azure ML to deploy the modelsExperience with working in CICD frameworkMotivation to make downstream modelers work smootherBackground or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureMLIndustry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etcExperience in designing scalable services controller architecture using FastAPISkillsMachine Learning-Python