Project Role Description :Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills :Machine Learning
Good to have skills :NA Minimum
5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while adhering to best practices in software development.
Roles & Responsibilities:
AI Engineer enables trusted, enterprise-ready adoption of AI at Fidelity International.
This role focuses on consuming, integrating, and operationalizing advanced AI models—from Large Language Models (LLMs) to Small Language Models (SLMs) - into secure, governed, and scalable business solutions.
Governance by Design:enforce data-handling policies in code (prompt redaction middleware, retrieval allow-lists, per-use-case policies).
Prompt/Agent CI/CD:add evaluation gates (answer quality, safety) to pipelines; canary deploys with feature flags; automated rollback on drift.
Model Lifecycle:manage SLM/LoRA fine-tuning with consented datasets, synthetic augmentation policies, and model registry entries w/ lineage.
Observability:implement tracing (e.g., request, retrieved docs, model output, tool calls), latency & cost SLOs; alerts on hallucination/safety incidents.
Provider Abstraction:wrap OpenAI/Gemini/Azure OpenAI/Vertex behind an interface; capture provider/region, model/version, and quota routing.
RAG Ops:schedule index rebuilds, freshness windows, incremental sync, and search quality dashboards with regression alerts. (Complements existing “RAG, cloud, CI/CD, fintech” content.)
Develop APIs and microservices to integrate AI with internal/external applications
Partner with business stakeholders to identify and validate use cases
Professional & Technical Skills:
Must To Have
Skills:
Proficiency in Machine Learning.
Strong understanding of various machine learning algorithms and their applications.
Experience with data preprocessing techniques to prepare datasets for analysis.
Familiarity with programming languages such as Python or R for implementing machine learning models.
Ability to evaluate model performance and optimize algorithms for better accuracy.
Additional Information:
The candidate should have minimum 5 years of experience in Machine Learning.
This position is based at our Bengaluru office.
A 15 years full time education is required.
Qualification15 years full time education
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.
