Software Development Engineer 4

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Information Technology • Travel
The Role
Design, build, and deploy scalable AI/ML solutions across the end-to-end lifecycle. Develop models (DL/NLP), create data pipelines, optimize model performance, implement MLOps/CI-CD, troubleshoot production issues, collaborate with cross-functional teams, and mentor engineers in an Agile/SAFe environment.
Summary Generated by Built In

Job Title

Software Development Engineer 4Summary of the Role 

We are seeking a highly skilled AI Practitioner with strong expertise in Artificial Intelligence and Machine Learning, capable of designing and deploying scalable AI-driven solutions. You will be responsible for building intelligent systems, leveraging modern AI/ML techniques, and contributing to high-impact business outcomes as part of a fast-paced, high-performing engineering team. 

Your Main Responsibilities 
  • Design and develop scalable AI/ML solutions for real-world business problems. 

  • Build and deploy machine learning models using modern frameworks and tools. 

  • Work with structured and unstructured data to develop predictive and optimization models. 

  • Collaborate with Product Owners, Data Engineers, and cross-functional teams to translate business needs into AI solutions. 

  • Drive model performance optimization, scalability, and reliability. 

  • Contribute to end-to-end ML lifecycle including data preparation, model training, validation, deployment, and monitoring. 

  • Apply best practices for experiment tracking, model versioning, and reproducibility. 

  • Conduct code reviews, share best practices, and mentor junior team members. 

  • Stay updated with advancements in AI/ML technologies and drive innovation initiatives. 

  • Work in Agile/SAFe environments ensuring timely delivery and continuous improvement. 

Technical Responsibilities 
  • Develop models using ML/DL techniques such as regression, classification, clustering, NLP, and deep learning. 

  • Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. 

  • Build data pipelines and integrate models into production systems. 

  • Ensure model performance through evaluation metrics, tuning, and monitoring. 

  • Leverage cloud platforms such as Azure, AWS, or GCP for AI/ML workloads. 

  • Implement MLOps practices including CI/CD for ML models. 

  • Troubleshoot production issues related to data and models. 

About the Ideal Candidate 
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 

  • 8+ years of experience in AI/ML development and deployment. 

  • Strong programming skills in Python (preferred) or Java/Scala. 

  • Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn). 

  • Strong understanding of statistics, probability, and data modeling. 

  • Experience working with large datasets and distributed computing frameworks. 

  • Knowledge of cloud platforms (Azure/AWS/GCP) and MLOps practices. 

  • Strong problem-solving and analytical skills. 

  • Experience working in Agile environments is a plus. 

  • Strong communication and stakeholder collaboration skills. 

Stakeholder Collaboration & Influence 
  • Collaborate with stakeholders across product, engineering, and business teams. 

  • Translate business problems into data-driven AI solutions. 

  • Communicate insights, model outcomes, and technical decisions effectively. 

  • Build alignment and influence decision-making with data-backed approaches. 

What We Can Offer You
  • 🎯 A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.

  • 🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.

  • 🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities and daily interactions.

  • 🤗 A caring environment – Amadeus fosters a caring environment that supports both professional growth and personal well-being.

  • 💰 A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.

  • 🌟 A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.

  • 🌈 A diverse, equitable, and inclusive community – We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.

  • 📈 A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.  

Be aware of recruitment scams


Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 8+ years of experience in AI/ML development and deployment.
  • Strong programming skills in Python (preferred) or Java/Scala.
  • Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistics, probability, and data modeling.
  • Experience working with large datasets and distributed computing frameworks.
  • Knowledge of cloud platforms (Azure/AWS/GCP) and MLOps practices.
  • Implementing CI/CD for ML models and experiment tracking/model versioning practices.
  • Experience working in Agile/SAFe environments.
  • Strong communication and stakeholder collaboration skills; ability to mentor junior team members.
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The Company
HQ: Madrid
10,001 Employees
Year Founded: 1987

What We Do

Travel powers progress. Amadeus powers travel. Amadeus’ solutions connect travelers to the journeys they want, linking them via travel agents, search engines and tour operators to airlines, airports, hotels, cars and railways. Technology has always been critical to developing global travel, increasing scale, choice and access. We have developed our technology in partnership with the travel industry for 30 years. We combine a deep understanding of how people travel with the ability to design and deliver the most complex, trusted, and critical systems our customers need.

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