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Gen AI
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- Posted 9 hours ago
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Job Description
Description
We are seeking an experienced Generative AI specialist to join our team in India. The ideal candidate will have 10-15 years of experience in developing and deploying advanced AI technologies.
Responsibilities
- Develop and implement generative AI models and algorithms.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Conduct research to stay updated with the latest advancements in AI technologies and methodologies.
- Analyze and interpret complex datasets to improve AI models.
- Provide technical guidance and mentorship to junior team members.
Skills and Qualifications
- Proficiency in programming languages such as Python, Java, or R.
- Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with natural language processing (NLP) and computer vision techniques.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
More Info
Key Skills
GenAI Engineer
AI Engineer
AI Architect
RAG
GenAI
AKS
About Company
Skills:
Test Execution, Test Case Design, Test Planning, PEFT, fine-tuning, Prompt engineering, RAG pipeline architecture, Test types, Defect tracking and root cause analysis, Cost and latency management, vector databases, AI-specific testing, LLM APIs, inference optimization, LoRA, hallucination detection and mitigation, Test automation frameworks, Evaluation frameworks
Skills:
Django, Docker, Kubernetes, Python development
Skills:
Api, Python, LangGraph, Langchain, Agentic AI, LLMs
Skills:
Machine Learning, Apis, Natural Language Processing, Deep Learning, Data Science, Python, Generative AI, Agentic AI frameworks, LLMs, Vector DBs, RAG embedding models, Transformers, BERT
Skills:
object storage , Paas, Docker, Terraform, Python, AWS, cloud security, Saas, Cloudformation, Iaas, Gcp, MLops, Arm, Azure, Kubernetes, vector databases, CI CD, Llm, Retrieval-Augmented Generation, LangChain, Data Lakes, GKE, AKS, Gen AIOps, EKS, foundation models, streaming platforms