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AI / ML Engineer
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AI / ML Engineer
Accenture- Posted 12 hours ago
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Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Build complete user-facing agentic AI products across frontend, backend, AI orchestration, data integration, and deployment.
Hands-on proficiency with v0, Lovable, Bolt.new and Replit Agent for rapid full-stack generation, combined with Cursor, Claude Code or Copilot to convert prototypes into tested React/TypeScript and Python services with secure authentication, databases, APIs and deployment pipelines.
Must have shipped and operated full-stack applications used by real users. Portfolio projects and AI demos without production ownership are insufficient.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Build complete user-facing agentic AI products across frontend, backend, AI orchestration, data integration, and deployment.
Hands-on proficiency with v0, Lovable, Bolt.new and Replit Agent for rapid full-stack generation, combined with Cursor, Claude Code or Copilot to convert prototypes into tested React/TypeScript and Python services with secure authentication, databases, APIs and deployment pipelines.
Must have shipped and operated full-stack applications used by real users. Portfolio projects and AI demos without production ownership are insufficient.
Roles & Responsibilities:
- Develop responsive interfaces for conversational and workflow-based AI applications.
- Build backend services, APIs, agent orchestration, retrieval, and tool integrations.
- Implement streaming, state management, approvals, notifications, and exception handling.
- Integrate authentication, authorization, enterprise systems, and data sources.
- Build evaluation, telemetry, error handling, and production monitoring.
- Optimize user experience, latency, reliability, accessibility, and cost.
- Participate in production support and continuous improvement.
- React, TypeScript, or comparable modern frontend frameworks.
- Python, APIs, asynchronous processing, and databases.
- LLM APIs, RAG, agent frameworks, streaming, and structured outputs.
- Cloud deployment, containers, CI/CD, identity, security, and observability.
More Info
Key Skills
asynchronous processing
CI CD
structured outputs
RAG agent frameworks
LLM APIs
identity security
observability
Large Language Models (LLMs)
Containers
About Company
Skills:
Fine-tuning and retrieval-augmented generation (RAG) workflows, Python, Security compliance and ethical use of LLMs, LLM pipelines, CI/CD pipelines, Machine learning frameworks, Model validation testing, Machine Learning Operations, Prompt management and versioning systems, Observability tools for LLM applications, Multi Cloud skills
Skills:
graph databases , C#, Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI
Skills:
Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, FastAPI, Azure, Python, AWS, LangChain, scikit-learn, Qdrant, vector databases, Pinecone, async, LangGraph, Chroma, FAISS, RAG, Milvus, Weaviate
Skills:
Machine Learning Algorithms, Python Programming, Prompt engineering, Data pipelines, Feature engineering
Skills:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining