C
Cozentus Technologiesvia Indeed
AI/ML Engineer-GenAI/LLM
INPosted 5mo ago
NLP / LLMMid Level#python#llm#transformers#nlp#docker#aws#gcp#azure
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About the Role
5 ~ 8 yearsIndiaPermanent
JOB DESCRIPTION
MRF for AI/ML Developer (5-8 years)
Position Details
- Job Title: AI/ML Engineer - GenAI / LLM
- Department: Data Team
- Location: Bhubaneswar
- Employment Type: Full-time
- Experience Required: 5–8 years
- Number of Positions: 2
- Priority: High
Role Objective
- We are seeking an AI/ML Engineer with strong hands-on experience in Generative AI and LLM-based systems, capable of building end-to-end RAG solutions, semantic search, and production-ready GenAI applications. Able to design, build, and deploy scalable machine learning and AI models for real-world applications
Key Responsibilities
- Design and implement LLM-based applications using commercial and open-source models
- Design, build, and deploy scalable machine learning and AI models for real-world applications
- Build and optimize RAG pipelines
- Develop prompt engineering, prompt tuning, and evaluation workflows
- Fine-tune and adapt LLMs for domain-specific tasks
- Deploy and maintain GenAI services in production environments
- Monitor performance, latency, cost, and quality of LLM systems
- Collaborate with product, backend, and data teams to ship AI features
- Research and evaluate emerging GenAI tools, models, and techniques
Required Skills & Qualifications
Technical Skills (Mandatory)
- Strong proficiency in Python
- Hands-on experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.)
- Experience building RAG systems
- Strong understanding of prompting techniques
- Experience designing LLM evaluation frameworks
- Knowledge of LLM validation and quality checks
- Familiarity with vector databases.
- Experience with prompt engineering and LLM evaluation
- Experience deploying ML models using Docker and CI/CD pipelines
- Ability to build automatic unit tests.
- Solid understanding of machine learning fundamentals
- NLP concepts: embeddings, transformers, tokenization
- Exposure to model fine-tuning techniques (LoRA / PEFT preferred)
- Strong understanding of embeddings
- Hands-on with semantic search
- Experience with document chunking strategies
- Solid background in NLP and Generative AI
Preferred / Nice-to-Have Skills
- API development using FastAPI / Flask
- Knowledge of data privacy, security, and responsible AI
- Cloud experience (AWS / GCP / Azure)
JOB REQUIREMENTS
Design and implement LLM-based applications using commercial and open-source models Design, build, and deploy scalable machine learning and AI models for real-world applications Build and optimize RAG pipelines Develop prompt engineering, prompt tuning, and evaluation workflows Fine-tune and adapt LLMs for domain-specific tasks Deploy and maintain GenAI services in production environments Monitor performance, latency, cost, and quality of LLM systems Collaborate with product, backend, and data teams to ship AI features Research and evaluate emerging GenAI tools, models, and techniques.
SKILLS
PYTHON
MACHINE LEARNING
PERFORMANCE APPRAISAL
TRANSFORMERS
UNIT TESTING
FLASK FRAMEWORK
CONTINUOUS INTEGRATION
RESEARCH
ARTIFICIAL INTELLIGENCE
DOCKER SOFTWARE
LARGE LANGUAGE MODEL
FASTAPI
APPLICATION PROGRAMMING INTERFACE
PROMPT ENGINEERING
PRODUCTION SERVER
VECTORDB
SCALABLE MACHINE LEARNING
JOB ID:
3459786
EXPERIENCE:
5 ~ 8 years
QUALIFICATION
Bachelor Degree
INDIA
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