ML Engineer

Job Title: ML Engineer Location: Atlanta, GA/ Charlotte, NC - Remote Type: Contract 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

Created: 2024-11-05