Machine Learning Engineer

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 traininginference latency and systemlevel 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