Data Scientist [T500-19762]
ANSR
Uma candidatura completa num minuto
Currículo e carta de apresentação personalizados, prontos a enviar.
Resumo da oferta
Qualificações
- 3+ years of experience in machine learning applications.
- Experience with the Software Development Life Cycle (SDLC).
- Ability to work well both in teams and independently.
Responsabilidades
- Collaborate to understand requirements and develop AI solutions.
- Maintain and enhance existing services and applications.
- Research and implement new AI technologies.
Conhecimentos
Formação académica
Ferramentas
Descrição da oferta de emprego
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ANSR is hiring for one of its clients.
American Airlines is transforming the way it delivers technology to its customers and team members worldwide. Its Tech Hub in Hyderabad, India, is home to team members who drive technical innovation and engineer digital products to best serve customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, the team in Hyderabad enables better support of the 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.
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. You’ll tackle challenges with flexibility and grace, learn new skills and advance your career while enjoying your time off. Feel free to enrich both your personal and work life and join us!
The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from data and make predictions or decisions. This domain includes subfields such as segmentation, propensity modeling, NLP, reinforcement learning, and working with foundation models for generative AI.
- Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop AI solutions that meet business needs
- 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 processes, security, and performance
- Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment
- 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; ensure models are scalable and efficient in production
- Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications
- Partner with a diverse team to build scalable and impactful AI solutions
- 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 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
- Master'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 SDLC experience designing, developing, and implementing large-scale machine learning applications
- Airline Industry experience
- Proficiency in Python; Databricks; Hibernate/Oracle; REST/SOAP; MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes); CI/CD tools (Git, Maven, Jenkins, Nexus)
- Experience with governance for responsible AI, post-deployment model maintenance, observability, drift detection
- Strong NLP knowledge (tokenization, embeddings, transformers, attention)
- Vector databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG)
- Data pipelines, ETL, distributed computing; Generative AI with LLMs (OpenAI GPT, Google Gemini, Llama)
- Prompt Engineering; Microsoft Office; Agile (SCRUM); DevOps CI/CD
- Ability to communicate effectively with all levels of the organization
- Ability to explain technical concepts to non-technical audiences
- Strong interpersonal, collaboration, and negotiation skills
- Ability to work well in a team and independently
- Physical ability to perform essential job functions with reasonable accommodations if needed; HR will engage in an interactive process if accommodation is required
Are you ready to feel a tremendous sense of pride and satisfaction as you help keep the largest airline in the world running smoothly? Feel free to be yourself at American.
- Mid-Senior level
- Full-time
- Information Technology and Engineering
- Industries: Airlines and Aviation
Note: This description is a cleaned-up version of the original posting, preserving the essential responsibilities and qualifications for the role.
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