Remote Deep learning engineer Jobs – 93 Open Jobs Today

AI Specialist
eligarf technologies —Remote
- Full-time
- Remote
- Master's degree
- Databases
- AWS
Python Lead - Manager
Kelp Infotech Private Limited —Remote
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
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- Oracle
- Management
- Computer Science
- Flexible schedule
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7d
Senior Generative AI Engineer (India)
Codvo.ai —Remote
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Gyrus —Remote
- Full-time
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Associate Principal Engineer, Salesforce Health Cloud
Nagarro —Remote
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Principal Engineer, Python fullstack (React+Genai)
Nagarro —Remote
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3Pillar —Remote
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Senior Staff Engineer, Salesforce Health Cloud
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3Pillar —Remote
- Full-time
- Remote
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Gnani Innovations —Remote
- Remote
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- Master's degree
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Python Lead - Manager
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Prior experience working with NCR retail platforms (e.g., NCR Voyix / NCR Aloha / NCR Counterpoint / NCR POS solutions) or Amazon retail technology (e.g.,…
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AI Specialist

eligarf technologies
Remote

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Image processing
Cloud infrastructure
Law
PyTorch
Software deployment
Git
Master's degree
Databases
AWS
Docker
Distributed systems
Terraform
Continuous integration
SDKs
Natural language processing
GitHub
APIs
Agile
S3
Kafka
DynamoDB
AI
Python

Full job description

Job Information

Department Name

eligarf

Date Opened

17/09/2025

Job Type

Full time

Industry

IT Services

Salary

as per std

Work Experience

5 - 8 Years

Remote Job

Job Description

This is a remote position.

AI Model Development: Design, train, and optimize AI/ML models for NLP, computer vision, and generative AI tasks.

AI Agents & Automation: Develop autonomous AI agents capable of decision-making, reasoning, and real-time data processing.
Vector Databases & AI Search: Implement and optimize vector search solutions using FAISS, Pinecone, Weaviate, or Milvus for AI-powered search and retrieval.
Text-to-Video & Generative AI: Work on AI-driven text-to-video generation, speech synthesis, and multimodal AI applications.
Cloud Infrastructure (AWS): Deploy and manage AI models on AWS (SageMaker, Bedrock, Lambda, S3, API Gateway, DynamoDB, Step Functions).
Scalability & Performance Optimization: Ensure efficient AI model inference, distributed computing, and GPU acceleration (AWS Inferentia, Neuron SDK).
Data Engineering for AI: Build and maintain data pipelines for AI/ML workloads, integrating real-time streaming and batch processing.
MLOps & CI/CD: Automate AI model training, deployment, and monitoring using AWS SageMaker Pipelines, Terraform, Docker, and GitHub Actions.
Security & Compliance: Implement best practices for AI model security, data governance, and responsible AI principles.
Collaboration: Work closely with software engineers, data engineers, and product teams to integrate AI solutions into production applications.

Requirements

8+ years of experience in AI/ML development, with a focus on building and deploying AI-powered applications.
Expertise in Python (PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs).
Strong experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, Step Functions, DynamoDB).
Hands-on expertise in vector databases (FAISS, Pinecone, Weaviate, Milvus) for AI-powered search and retrieval.
Experience developing AI Agents (LangChain, AutoGPT, OpenAI, RAG-based systems).
Familiarity with text-to-video AI tools (RunwayML, Pika Labs, Stability AI).
Deep knowledge of LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
Proficiency in MLOps best practices (CI/CD pipelines, model monitoring, AI observability).
Experience with real-time AI workloads (Kafka, AWS Kinesis, event-driven architectures).
Strong background in distributed computing and GPU-accelerated AI (CUDA, AWS Inferentia, Neuron SDK).

Preferred Qualifications:

Experience with reinforcement learning (RLHF), autonomous agents, and decision-making AI.
Knowledge of synthetic data generation for AI model training.
Understanding of AI model compression (quantization, pruning, distillation) for edge AI applications.
Experience in multi-modal AI models integrating text, video, and speech synthesis.

Preferred Skills:

Knowledge of Reinforcement Learning, Generative AI, or Explainable AI (XAI).
Experience in Vector Databases, Retrieval-Augmented Generation (RAG), and AI model optimization.
Familiarity with GPU acceleration, CUDA, and edge AI deployment.
Understanding of AI ethics, bias mitigation, and regulatory compliance.

Benefits

At eligarf Technologies, we transcend the boundaries of conventional IT services, crafting tailor-made solutions that catalyse your business ambitions. With a global footprint, we seamlessly blend innovation and expertise to architect a digital landscape that amplifies your growth trajectory.

Our core ethos revolves around sculpting bespoke services that resonate with your unique business DNA. We don’t offer mere solutions; we engineer strategies that become an intrinsic part of your success story. From Agile software development and meticulously curated software development to cutting-edge AI & ML and seamless cloud integration, our offerings are a symphony of technology and strategy.

We want enthusiastic people to be part of our family and have an open mind-frame and are willing to experiment with different options and multi-task in different aspects of business. Let us assure you that work will not be easy, but it will be worth it. We are an established company with a start-up mind-set and are looking for members to skip lunches over meetings, brainstorm on ideas on different aspects of business and roll up their sleeves and get their hands dirty. We want members who want to do something new and different and make a mark in whatever they do. We are not looking for time watching members. We are looking for a member who stays with us through the highs and lows of a dynamic and fast growing organization. You will have enough challenges to grow and enjoy your work. We have an interesting ABCDEF philosophy, which we believe will help you an individual. If you would like to work in this dynamic environment, know more about ABCDEF and contribute to your and the company’s growth.

If this job description is of your interest, please revert ASAP to move ahead.

For any further queries, feel free to contact.

Apply Now

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