Responsibilities may include the following and other duties may be assigned Design develop and implement machine learning models and algorithms to solve complex business problems Use software design principles to develop production ready code Collect preprocess and analyze large datasets to train and evaluate machine learning models Optimize and fine-tune machine learning models for performance and accuracy Deploy machine learning models into production environments and monitor their performance Develop processes and tools to monitor and analyze model performance and data accuracy Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows Document and communicate machine learning solutions methodologies and results to technical and non-technical stakeholders Mentor and provide guidance to junior Machine Learning Engineers Required Knowledge and Experience Bachelor s degree from an accredited institution in a technical discipline such as the sciences technology engineering or mathematics 5 years of industry experience in writing production level scalable code e g in Python 4 years of experience with one or more of the following machine learning topics classification clustering optimization recommendation system deep learning 4 years of industry experience with distributed computing frameworks such as PySpark 4 years of industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and other libraries like scikit-learn spacy genism etc 4 years of industry experience with major cloud computing services like AWS or Azure or GCP 1 years of experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone Bedrock Experience in building Agentic AI applications 2 years of technical leadership leading junior engineers in a product development setting Preferred Qualifications MS or Ph D in Computer Science Software Engineering Electrical Engineering or related fields Proficient in containerization services Proficient in Sagemaker to deploy the models Experience with working in CICD framework Experience in deploying and scaling Open source LLM Models