Senior Engineer IT Machine Learning [T500 20161]

Job description

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey®.

Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members.

With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Job Description:

INTRO:

Are you ready to explore a world of possibilities, both at work and during your time off?

Join our American Airlines family, and you’ll travel the world, grow your expertise, and become the best version of you.

As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.

Feel free to enrich both your personal and work life and hop onboard!

Why you will love this job:

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
  
  
• The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from and make predictions or decisions based on data.
  
  This domain is generally a subset of the AI or Data Domain.
  
  
• Scope includes various subfields, including segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and working with foundation models for generative AI.
  
  

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced.

Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Collaborate with leaders, business analysts, project managers ,IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
• Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
• Troubleshoot and debug complex issues; identify and implement solutions
• 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:

• 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:

• 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

Required Skill Profession

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