Back to Browse Jobs
FIS Management Services LLC
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Pune · On-site · 10-13 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance.
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.
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.
Nice to have
- 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.
Benefits
- 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
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 13 October 2026
- How do I apply for Artificial Intelligence / Machine Learning Lead Engineer at FIS Management Services LLC?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. FIS Management Services LLC may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Artificial Intelligence / Machine Learning Lead Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Artificial Intelligence / Machine Learning Lead Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Artificial Intelligence / Machine Learning Lead Engineer role at FIS Management Services LLC?
- This is a lead Artificial Intelligence / Machine Learning Lead Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.