Artificial Intelligence / Machine Learning Lead Engineer
Fis
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This role on the market
772 open intelligence roles across 164 companies are on ApplySarthi right now, most of them in Bengaluru (46), Hyderabad (35), Chennai (9).
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What intelligence roles keep asking for: Python (35%), SQL (29%), AWS (20%), Tableau (16%), Stakeholder management (15%), Machine learning (14%), Power BI (14%), Data modelling (12%) — counted across their open postings here.
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Fis has 563 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for intelligence roles keep coming back to Python, SQL, AWS, Tableau. Practise those questions before you sit with Fis.
Questions you are likely to be asked
- Why do you want to join Fis?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Artificial Intelligence / Machine Learning Lead Engineer at Fis interview free →Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS. About the role As an Artificial Intelligence and Machine Learning Engineer Lead, you will design and develop generative artificial intelligence and agent-based solutions across FIS. You will build scalable applications using large language models and integrate them with enterprise platforms, application programming interfaces and workflows. You will also evaluate these systems for accuracy, reliability, safety and effective grounding. Your key responsibilities Design and build generative artificial intelligence applications using proprietary and open-weight large language models. Develop agent-based systems and workflows that support planning, memory, tool use, orchestration, human oversight and autonomous tasks. Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows. Build and deploy representational state transfer services using Flask or FastAPI. Evaluate model, agent and system performance, including accuracy, reliability, grounding and safety. What you bring Required qualifications At least 10 years of overall professional experience, including at least four years working with artificial intelligence, generative artificial intelligence or agent-based artificial intelligence. Hands-on experience with large language models, prompting techniques, structured outputs, model routing, context management, memory management and retrieval-augmented generation. Strong proficiency in Python and experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras or pandas. Experience with vector databases, retrieval systems, cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure, and services built with Flask or FastAPI. Bachelor's degree in engineering or a related field, or an equivalent combination of education, training and work experience. Preferred qualifications Experience fine-tuning large language models, including parameter-efficient approaches such as low-rank adaptation and quantized low-rank adaptation. Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen or the OpenAI Assistants application programming interface. Knowledge of production machine learning operations, continuous integration and delivery, monitoring, observability, security, compliance and data governance. The impact you'll make The FIS artificial intelligence and machine learning team identifies, explores and implements solutions designed to support revenue growth and operational savings. The team brings together solution architects, data scientists and machine learning engineers. As an Artificial Intelligence and Machine Learning Engineer Lead, you will help turn emerging technologies into practical solutions that can be applied across the organization. What we offer you At FIS, your career journey is yours to shape. We provide the tools, experiences and support to help you reach what's next. Here's what else we offer: Opportunities to make an impact in fintech Internal career growth opportunities Personal and professional learning Inclusive, diverse work environment Resources to give back to your community Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice . Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass
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Listed on workday · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Fis, not by us.