(Senior) Machine Learning Engineer

identify and implementsolutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with data scientists and product teams to build and deploy AI solutions, focusing on the technical aspects of AI deployment & associated resources Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment. Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments. Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you will need for success : Minimum Qualifications – Education & Prior Job Experience : Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training 3+ years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications – Education & Prior Job Experience : Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training 5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications Airline Industry experience Skills, Licenses, and Certifications : Proficiency and demonstrated experience in the following technologies : Python Databricks Azure AI Foundry services, including Azure ML Studio, AI search, Semantic Kernels, Semantic Cache, Content safety filters etc Database and persistence frameworks : Hibernate, Oracle, Object / Relational Mapping, Query performance tuning Cloud-based development : Microsoft Azure, AWS Web Servers : Tomcat, tcServer, Websphere Web Services : REST / SOAP (JSON / WSDL / XML) AI / ML Frameworks : TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face MLOps Tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes Build / deployment tools : Maven, Gradel, Git, Junit, Mockito Other DevOps Toolchain : Nexus Repository, SonarQube, Slack, GitHub, Jenkins, Elastic Search, Logback, Log4j, ADO Pipelines Proficiency in object-oriented design techniques and principles Experience developing and implementing governance frameworks and controls for responsible AI, knowledge of various AI regulations Proficiency in post-deployment model maintenance, including observability, monitoring, and drift detection Strong understanding of GEN AI & NLP concepts, including LLMs, tokenization, embeddings, transformers, and attention mechanisms Knowledge of VectorDatabases (e.G., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) strategies Familiarity with data pipelines, ETL, and distributed computing frameworks Experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.G., Open AI GPT, Google Gemini, Llama) Expertise in Prompt Engineering, including designing and optimizing prompts for foundation models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment Language / Communication skills : Ability to effectively communicate both verbally and written with all levels within the organization Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship. Note : If the Company has reason to question an employee’s physical ability to safely and / or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully. Feel free to be yourself at American : Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself in America.