Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineer, a typical day involves engaging deeply with various stages of software development tailored to client needs. This includes analyzing requirements, designing solutions, writing and testing code for multiple application components, and ensuring the software meets quality standards. The role also involves maintaining existing systems and implementing enhancements to improve functionality and performance, often collaborating with different teams to deliver effective software solutions.

Roles & Responsibilities:
- 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 (ML).
- Strong knowledge of machine learning algorithms and their practical applications.
- Experience with data preprocessing techniques to prepare datasets for modeling.
- Ability to implement and optimize models for classification, regression, and clustering tasks.
- Familiarity with software development lifecycle and version control systems.
- Capability to analyze and troubleshoot issues in machine learning pipelines and software components.

Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Gurugram office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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