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7 eligarf Technologies Jobs
AI Specialist
eligarf Technologies
posted 7hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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).
- 8+ years of experience in AI/ML development, with a focus on building and deploying AI-powered applications.
- AI Agents & Automation: Develop autonomous AI agents capable of decision-making, reasoning, and real-time data processing.
Employment Type: Full Time, Permanent
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What people at eligarf Technologies are saying
Specialist salary at eligarf Technologies
reported by
1
employee
with 4
years exp.
₹3.3
L/yr - ₹4.3
L/yr
63%
less
than the average Specialist Salary in India
View more details
What eligarf Technologies employees are saying about work life
based on 188 employees
Flexible timing
Monday to Friday
No travel
Night Shift
eligarf Technologies Benefits
Submitted by Company
Work From Home Health Insurance Job Training Team Outings Rewards and Recognition
Submitted by Employees
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eligarf Technologies Pune Office Location
Pune, Maharashtra Office
Office No. 104, 1st Floor, Pentagon Tower No. 3
Magarpatta City, Hadapsar
Pune, Maharashtra
411028
411028
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