Hugging Face ecosystem jobs

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
8+ years

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Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
8+ years

Apply with RefersoAI Apply on careers page

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
7+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of AI solutions across Agentic AI, Generative AI (LLMs) and classical ML/CV. Own the technical direction for suggestion & rules frameworks, search/retrieval, document and web data extraction, and image/OCR pipelines for the Value Stream. Provide architectural leadership, mentor engineers, and ensure production-grade quality, safety, and reliability. Should be familiar with evaluation strategies, responsible AI, explainability.

Responsibilities

Define end-to-end architecture for LLM/agent systems (tool use, orchestration, guardrails) and classical ML components.
Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs.
Architect search & retrieval (BM25 + embeddings) and RAG pipelines drive relevance tuning and evaluation.
Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation).
Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding.

Requirements

15 years full time education
Nice to have: LangGraph
Nice to have: LangMem
Nice to have: LightGBM
Nice to have: Flair

Skills

Machine Learning (ML)LLMs Generative AI

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
8+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of AI solutions across Agentic AI, Generative AI (LLMs) and classical ML/CV.

Responsibilities

Define end-to-end architecture for LLM/agent systems
Design suggestion engines and policy/rule layers
Architect search & retrieval and RAG pipelines
Oversee robust scraping & extraction and structured normalization
Direct image processing and OCR workflows

Requirements

15 years full time education

Skills

Machine Learning (ML)PyTorch Hugging Face ecosystem LangChain LangGraph LangMem spaCy scikit-learn LightGBM Flair

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
7+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of AI solutions across Agentic AI, Generative AI (LLMs) and classical ML/CV.

Responsibilities

Define end-to-end architecture for LLM/agent systems and classical ML components
Design suggestion engines and policy/rule layers
Architect search & retrieval and RAG pipelines
Oversee robust scraping & extraction and structured normalization
Direct image processing and OCR workflows

Requirements

15 years full time education

Skills

Machine Learning Deep learning fundamentals LLM PyTorch Hugging Face ecosystem LangChain spaCy scikit-learn LightGBM

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
7+ years

Apply with RefersoAI Apply on careers page

Lead the design and delivery of AI solutions across Agentic AI, Generative AI (LLMs) and classical ML/CV.

Responsibilities

Define end-to-end architecture for LLM/agent systems and classical ML components
Design suggestion engines and policy/rule layers
Architect search & retrieval and RAG pipelines
Oversee robust scraping & extraction and structured normalization
Direct image processing and OCR workflows

Requirements

15 years full time education

Skills

Machine Learning PyTorch Hugging Face ecosystem LangChain LangGraph spaCy scikit-learn LightGBM Flair Optuna

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
7+ years

Apply with RefersoAI Apply on careers page

Responsibilities

Define end‑to‑end architecture for LLM/agent systems and classical ML components
Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs
Architect search & retrieval (BM25 + embeddings) and RAG pipelines to drive relevance tuning and evaluation
Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation)
Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding

Requirements

15 years full time education

Skills

Machine Learning (ML)PyTorch Hugging Face ecosystem LangChain LangGraph

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
7+ years

Apply with RefersoAI Apply on careers page

Responsibilities

Define end-to-end architecture for LLM/agent systems (tool use, orchestration, guardrails) and classical ML components.
Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs.
Architect search & retrieval (BM25 + embeddings) and RAG pipelines drive relevance tuning and evaluation.
Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation).
Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding.

Requirements

15 years full time education
Nice to have: LangGraph
Nice to have: LangMem
Nice to have: LightGBM
Nice to have: Flair

Skills

Machine Learning (ML)LLMs Generative AI Agentic AI

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
7–15 years

Apply with RefersoAI Apply on careers page

Responsibilities

Define end-to-end architecture for LLM/agent systems (tool use, orchestration, guardrails) and classical ML components.
Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs.
Architect search & retrieval (BM25 + embeddings) and RAG pipelines drive relevance tuning and evaluation.
Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation).
Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding.

Requirements

15 years full time education
Nice to have: LangGraph
Nice to have: LangMem
Nice to have: LightGBM
Nice to have: Flair

Skills

Machine Learning (ML)LLMs Generative AI Agentic AI

Machine Learning (ML)

Accenture · Posted Nov 12, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
7–15 years

Apply with RefersoAI Apply on careers page

Responsibilities

Define end-to-end architecture for LLM/agent systems (tool use, orchestration, guardrails) and classical ML components.
Design suggestion engines and policy/rule layers that combine deterministic constraints with generative outputs.
Architect search & retrieval (BM25 + embeddings) and RAG pipelines drive relevance tuning and evaluation.
Oversee robust scraping & extraction (Playwright/Selenium/Trafilatura) and structured normalization (JSON/Parquet, schema validation).
Direct image processing and OCR workflows (OpenCV, pytesseract/ocrmypdf) for document understanding.

Requirements

15 years full time education
Nice to have: LangGraph
Nice to have: LangMem
Nice to have: LightGBM
Nice to have: Flair

Skills

Machine Learning (ML)Generative AI (LLMs)Agentic AI

Senior Engineer - Gen AI

Arrow Electronics, Inc. · Posted Dec 2, 2025

Open

Ahmedabad, India
Full-time · Senior
5–6 years

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Senior-level engineer focused on designing, building, and deploying production-grade generative AI and agentic-AI solutions.

Responsibilities

Architect, develop, test, and deploy generative-AI solutions
Design and implement agentic AI workflows and orchestration
Integrate enterprise knowledge bases and external data sources via vector databases and Retrieval-Augmented Generation
Build and productionize ingestion, preprocessing, indexing, and retrieval pipelines
Implement fine-tuning, prompt engineering, evaluation metrics, A/B testing, and iterative model improvement cycles

Requirements

Nice to have: fine-tuning
Nice to have: parameter-efficient tuning
Nice to have: multimodal models
Nice to have: retrieval-augmented multimodal pipelines
Nice to have: agentic safety

Skills

Python scikit-learn TensorFlow PyTorch Hugging Face ecosystem LLMs