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AI/ML Engineer (0–3 Yrs Exp) – LLMs,NLP,ML,AI

Min Experience

0 years

Location

Kozhikode, IN

JobType

full-time

About the job

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About the role

Pfactorial Technologies is a fast-growing AI/ML/NLP company at the forefront of innovation in Generative AI, voice technology, and intelligent automation. We specialize in building next-gen solutions using LLMs, agent frameworks, and custom ML pipelines. Join our dynamic team to work on real-world challenges and shape the future of AI-driven systems and smart automation. We are looking for AI/ML Engineer – LLMs, Voice Agents & Workflow Automation (0–3Yrs Experience ) • Experience with LLM integration pipelines (OpenAI, Vertex AI, Hugging Face models) • Hands on experience in working with voice agents, TTS, STT, caching mechanisms, and ElevenLabs voice technology • Strong understanding of vector databases like Qdrant or Milvus • Hands-on experience with Langchain, LlamaIndex, or agent frameworks (e.g., AutoGen, CrewAI) • Knowledge of FastAPI, Celery, and orchestration of ML/AI services • Familiarity with cloud deployment on GCP, AWS, or Azure • Ability to build and fine-tune matching, ranking, or retrieval-based models • Developing agentic workflows for automation • Implementing NLP pipelines for parsing, summarizing, and communication (e.g., email bots, script generators) • Comfortable working with graph-based data representation and integrating with frontend • Experience in multi-agent collaboration frameworks like Google Agent2Agent • Practical experience in data scraping and enrichment for ML training datasets • Understanding of compliance in AI applications

About the company

Pfactorial Technologies is a fast-growing AI/ML/NLP company at the forefront of innovation in Generative AI, voice technology, and intelligent automation.

Skills

aws
llm
nlp
ml
ai
voice-technology
intelligent-automation
langchain
llamaindex
agent-frameworks
fastapi
celery
cloud-deployment
gcp
aws
azure
matching-models
ranking-models
retrieval-models
agentic-workflows
automation
nlp-pipelines
parsing
summarizing
communication
graph-data
multi-agent-collaboration
data-scraping
data-enrichment
compliance