Remote Data engineer – python & gcp Jobs – 142 Open Jobs Today

Senior Staff Engineer, Python & LLM
Nagarro —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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Backend Engineer II – Data Platform
Netomi —Remote
- Full-time
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- Computer Science
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Senior AI/ML Engineer – Generative AI
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- ₹70,000 - ₹90,000 a month
- Full-time
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- Azure
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6d
AI/ML Engineer
Nirag Infotech —Remote
- ₹1,00,000 - ₹1,50,000 a month
- Remote
- Azure
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12d
Principal Platform Engineer
Insight Software —Remote
- Full-time
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- Azure
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Senior AIOps Engineer I
Porch —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
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- Computer Science
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Cloud and Observability Engineer (Remote Role, 6pm – 3am)
Coralogix —Remote
- Full-time
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- Azure
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AI Engineer
Edureify Technology —Remote
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HoonarTek —Remote
- Full-time
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Senior AIML Engineer
sahaj software solutions private limited —Remote
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
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5d
Gen AI Engineer
Rupa Career Solutions —Remote
- ₹4,56,646.56 - ₹7,58,087.79 a year
- Full-time
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- Master's degree
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13d
DevOps Engineer
WIN Home Inspection —Remote
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Senior Data Engineer - II
Delivery Solutions —Remote
- Full-time
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DevOps Engineer II
QuillBot —Remote
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3d
AI/ML Engineer II
Precision Medicine Group —Remote
- Online application
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Machine Learning Engineer
Expertshub.ai —Remote
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Staff Software Engineer - App Infra
Ocrolus —Remote
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Snowflake Data Platform Lead(India)
Codvo.ai —Remote
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Staff Engineer
Spreetail —Remote
- Email
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Machine Learning Engineer - III (Extraction)
Jumio —Remote
- Email
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- Doctoral degree
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Senior Staff Engineer, Python & LLM

Nagarro -
Remote

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Job details

Full-time

Qualifications

CI/CD
Azure
Law
Computer Science
Kubernetes
Master's degree
Databases
Microservices
AWS
Bachelor's degree
Distributed systems
Continuous integration
Back-end development
REST
Django
APIs
Data science
GraphQL
Flask
AI
Communication skills
Python
Data Science
Information Technology

Full job description

Company Description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17,700 experts across 39 countries, to be exact). Our work culture is dynamic and non‑hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

REQUIREMENTS:

Total experience 7.5+ years
Strong hands-on expertise in LLM engineering and Python backend development.
Expertise in LLM Application Frameworks, Prompt Engineering with LLMs, Python, FastAP
Proven experience building and deploying applications using cutting‑edge LLMs (GPT‑4/5, Claude, Gemini, Mistral, LLaMA, Mixtral, DeepSeek, etc.).
Strong experience with RAG pipelines, embeddings, prompt engineering, and multi‑agent systems.
Hands-on expertise with LLM frameworks such as LangChain, LlamaIndex, Haystack, DSPy, AutoGen, CrewAI.
Deep knowledge of model fine‑tuning techniques such as LoRA, QLoRA, PEFT, adapters.
Experience deploying open‑source LLMs using vLLM, TGI, Ollama, LM Studio, Triton, etc.
Strong backend engineering experience with FastAPI (expert), Django or Flask, microservices, and distributed systems.
Experience implementing REST, GraphQL, and streaming APIs.
Hands-on experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, FAISS, Chroma.
Knowledge of semantic search, hybrid search, embedding pipelines, and enterprise knowledge systems.
Strong understanding of cloud platforms (AWS, GCP, Azure), containers, and Kubernetes.
Experience with MLOps/LLMOps practices—CI/CD for ML workflows, monitoring, logging, tracing, and model lifecycle management.
Bachelor’s/Master’s in CS, AI, Data Science, or equivalent experience.
Excellent communication, collaboration, and problem-solving skills.

RESPONSIBILITIES:

Design, implement, and optimize LLM-powered applications using leading and open‑source models.
Develop advanced prompt engineering, system prompts, and structured output pipelines.
Build RAG pipelines with hybrid search, embeddings, and custom retrieval strategies.
Develop multi-agent systems and autonomous AI workflows.
Fine‑tune, adapt, and serve foundation models using LoRA/QLoRA and modern inference engines.
Deploy and scale LLM workloads using vLLM, TGI, Ollama, or GPU/TPU-based systems.
Integrate multimodal models across text, image, audio, and video.
Build evaluation pipelines for hallucination detection, factual accuracy, quality scoring, and alignment.
Implement guardrails, moderation, and safety policies for AI systems.
Build scalable backend systems using FastAPI, microservices, event-driven architectures, and secure API frameworks.
Optimize backend performance, observability, and reliability.
Build ingestion pipelines for document processing, chunking, preprocessing, and semantic indexing.
Implement semantic, vector, and hybrid search at scale.
Deploy AI systems on cloud platforms, manage Kubernetes inference clusters, and optimize GPU utilization.
Set up CI/CD, automated testing, model versioning, and production monitoring for AI workflows.
Develop enterprise-grade search, knowledge systems, and document intelligence platforms.
Ensure robustness, security, and scalability in all AI and backend systems.
Stay updated with the latest GenAI, LLMOps, and backend engineering innovations and share knowledge within the technical community.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Quick apply

Refine Your Search

data engineer – python & gcp jobs in remote

Senior Staff Engineer, Python & LLM

Backend Engineer II – Data Platform

Senior AI/ML Engineer – Generative AI

AI/ML Engineer

Principal Platform Engineer

Senior AIOps Engineer I

Cloud and Observability Engineer (Remote Role, 6pm – 3am)

AI Engineer

PySPark /Spark & Dataproc Senior Engineer

Senior AIML Engineer

Gen AI Engineer

DevOps Engineer

Senior Data Engineer - II

DevOps Engineer II

AI/ML Engineer II

Machine Learning Engineer

Staff Software Engineer - App Infra

Snowflake Data Platform Lead(India)

Staff Engineer

Machine Learning Engineer - III (Extraction)

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